CPTG_Holo_Blend.cpp

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/* +------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)            |
   |                          http://www.mrpt.org/                          |
   |                                                                        |
   | Copyright (c) 2005-2017, Individual contributors, see AUTHORS file     |
   | See: http://www.mrpt.org/Authors - All rights reserved.                |
   | Released under BSD License. See details in http://www.mrpt.org/License |
   +------------------------------------------------------------------------+ */
 
#include "nav-precomp.h"  // Precomp header
#include <mrpt/nav/tpspace/CPTG_Holo_Blend.h>
#include <mrpt/utils/types_math.h>
#include <mrpt/utils/CStream.h>
#include <mrpt/utils/round.h>
#include <mrpt/utils/CTimeLogger.h>
#include <mrpt/math/poly_roots.h>
#include <mrpt/kinematics/CVehicleVelCmd_Holo.h>
 
using namespace mrpt::nav;
using namespace mrpt::utils;
using namespace mrpt::system;
 
IMPLEMENTS_SERIALIZABLE(
        CPTG_Holo_Blend, CParameterizedTrajectoryGenerator, mrpt::nav)
 
/*
Closed-form PTG. Parameters:
- Initial velocity vector (xip, yip)
- Target velocity vector depends on \alpha: xfp = V_MAX*cos(alpha), yfp =
V_MAX*sin(alpha)
- T_ramp_max max time for velocity interpolation (xip,yip) -> (xfp, yfp)
- W_MAX: Rotational velocity for robot heading forwards.
 
Number of steps "d" for each PTG path "k":
- Step = time increment PATH_TIME_STEP
 
*/
 
// Uncomment only for benchmarking during development
//#define DO_PERFORMANCE_BENCHMARK
 
#ifdef DO_PERFORMANCE_BENCHMARK
mrpt::utils::CTimeLogger tl_holo("CPTG_Holo_Blend");
#define PERFORMANCE_BENCHMARK \
        CTimeLoggerEntry tle(tl_holo, __CURRENT_FUNCTION_NAME__);
#else
#define PERFORMANCE_BENCHMARK
#endif
 
double CPTG_Holo_Blend::PATH_TIME_STEP = 10e-3;  // 10 ms
double CPTG_Holo_Blend::eps = 1e-4;  // epsilon for detecting 1/0 situation
 
// As a macro instead of a function (uglier) to allow for const variables
// (safer)
#define COMMON_PTG_DESIGN_PARAMS                                   \
        const double vxi = m_nav_dyn_state.curVelLocal.vx,             \
                                 vyi = m_nav_dyn_state.curVelLocal.vy;             \
        const double vf_mod = internal_get_v(dir);                     \
        const double vxf = vf_mod * cos(dir), vyf = vf_mod * sin(dir); \
        const double T_ramp = internal_get_T_ramp(dir);
 
#if 0
static double calc_trans_distance_t_below_Tramp_abc_analytic(double t, double a, double b, double c)
{
        PERFORMANCE_BENCHMARK;
 
        ASSERT_(t >= 0);
        if (t == 0.0) return .0;
 
        double dist;
        // Handle special case: degenerate sqrt(a*t^2+b*t+c) =  sqrt((t-r)^2) = |t-r|
        const double discr = b*b - 4 * a*c;
        if (std::abs(discr)<1e-6)
        {
                const double r = -b / (2 * a);
                // dist= definite integral [0,t] of: |t-r| dt
                dist = r*std::abs(r)*0.5 - (r - t)*std::abs(r - t)*0.5;
        }
        else
        {
                // General case:
                // Indefinite integral of sqrt(a*t^2+b*t+c):
                const double int_t = (t*(1.0 / 2.0) + (b*(1.0 / 4.0)) / a)*sqrt(c + b*t + a*(t*t)) + 1.0 / pow(a, 3.0 / 2.0)*log(1.0 / sqrt(a)*(b*(1.0 / 2.0) + a*t) + sqrt(c + b*t + a*(t*t)))*(a*c - (b*b)*(1.0 / 4.0))*(1.0 / 2.0);
                // Limit when t->0:
                const double int_t0 = (b*sqrt(c)*(1.0 / 4.0)) / a + 1.0 / pow(a, 3.0 / 2.0)*log(1.0 / sqrt(a)*(b + sqrt(a)*sqrt(c)*2.0)*(1.0 / 2.0))*(a*c - (b*b)*(1.0 / 4.0))*(1.0 / 2.0);
                dist = int_t - int_t0;// Definite integral [0,t]
        }
#ifdef _DEBUG
        using namespace mrpt;
        MRPT_CHECK_NORMAL_NUMBER(dist);
        ASSERT_(dist >= .0);
#endif
        return dist;
}
#endif
 
// Numeric integration of: sqrt(a*t^2+b*t+c) for t=[0,T]
static double calc_trans_distance_t_below_Tramp_abc_numeric(
        double T, double a, double b, double c)
{
        PERFORMANCE_BENCHMARK;
 
        double d = .0;
        const unsigned int NUM_STEPS = 15;
 
        ASSERT_(a >= .0);
        ASSERT_(c >= .0);
        double feval_t = std::sqrt(c);  // t (initial: t=0)
        double feval_tp1;  // t+1
 
        const double At = T / (NUM_STEPS);
        double t = .0;
        for (unsigned int i = 0; i < NUM_STEPS; i++)
        {
                // Eval function at t+1:
                t += At;
                double dd = a * t * t + b * t + c;
 
                // handle numerical innacuracies near t=T_ramp:
                ASSERT_(dd > -1e-5);
                if (dd < 0) dd = .0;
 
                feval_tp1 = sqrt(dd);
 
                // Trapezoidal rule:
                d += At * (feval_t + feval_tp1) * 0.5;
 
                // for next step:
                feval_t = feval_tp1;
        }
 
        return d;
}
 
// Axiliary function for calc_trans_distance_t_below_Tramp() and others:
double CPTG_Holo_Blend::calc_trans_distance_t_below_Tramp_abc(
        double t, double a, double b, double c)
{
// JLB (29 Jan 2017): it turns out that numeric integration is *faster* and more
// accurate (does not have "special cases")...
#if 0
        double ret = calc_trans_distance_t_below_Tramp_abc_analytic(t, a, b, c);
#else
        double ret = calc_trans_distance_t_below_Tramp_abc_numeric(t, a, b, c);
#endif
 
        return ret;
}
 
// Axiliary function for computing the line-integral distance along the
// trajectory, handling special cases of 1/0:
double CPTG_Holo_Blend::calc_trans_distance_t_below_Tramp(
        double k2, double k4, double vxi, double vyi, double t)
{
        /*
        dd = sqrt( (4*k2^2 + 4*k4^2)*t^2 + (4*k2*vxi + 4*k4*vyi)*t + vxi^2 + vyi^2 )
        dt
                                a t^2 + b t + c
        */
        const double c = (vxi * vxi + vyi * vyi);
        if (std::abs(k2) > eps || std::abs(k4) > eps)
        {
                const double a = ((k2 * k2) * 4.0 + (k4 * k4) * 4.0);
                const double b = (k2 * vxi * 4.0 + k4 * vyi * 4.0);
 
                // Numerically-ill case: b=c=0 (initial vel=0)
                if (std::abs(b) < eps && std::abs(c) < eps)
                {
                        // Indefinite integral of simplified case: sqrt(a)*t
                        const double int_t = sqrt(a) * (t * t) * 0.5;
                        return int_t;  // Definite integral [0,t]
                }
                else
                {
                        return calc_trans_distance_t_below_Tramp_abc(t, a, b, c);
                }
        }
        else
        {
                return std::sqrt(c) * t;
        }
}
 
void CPTG_Holo_Blend::onNewNavDynamicState()
{
        m_pathStepCountCache.assign(m_alphaValuesCount, -1);  // mark as invalid
}
 
void CPTG_Holo_Blend::loadDefaultParams()
{
        CParameterizedTrajectoryGenerator::loadDefaultParams();
        CPTG_RobotShape_Circular::loadDefaultParams();
 
        m_alphaValuesCount = 31;
        T_ramp_max = 0.9;
        V_MAX = 1.0;
        W_MAX = mrpt::utils::DEG2RAD(40);
}
 
void CPTG_Holo_Blend::loadFromConfigFile(
        const mrpt::utils::CConfigFileBase& cfg, const std::string& sSection)
{
        CParameterizedTrajectoryGenerator::loadFromConfigFile(cfg, sSection);
        CPTG_RobotShape_Circular::loadShapeFromConfigFile(cfg, sSection);
 
        MRPT_LOAD_HERE_CONFIG_VAR_NO_DEFAULT(
                T_ramp_max, double, T_ramp_max, cfg, sSection);
        MRPT_LOAD_HERE_CONFIG_VAR_NO_DEFAULT(
                v_max_mps, double, V_MAX, cfg, sSection);
        MRPT_LOAD_HERE_CONFIG_VAR_DEGREES_NO_DEFAULT(
                w_max_dps, double, W_MAX, cfg, sSection);
        MRPT_LOAD_CONFIG_VAR(turningRadiusReference, double, cfg, sSection);
 
        MRPT_LOAD_HERE_CONFIG_VAR(expr_V, string, expr_V, cfg, sSection);
        MRPT_LOAD_HERE_CONFIG_VAR(expr_W, string, expr_W, cfg, sSection);
        MRPT_LOAD_HERE_CONFIG_VAR(expr_T_ramp, string, expr_T_ramp, cfg, sSection);
}
void CPTG_Holo_Blend::saveToConfigFile(
        mrpt::utils::CConfigFileBase& cfg, const std::string& sSection) const
{
        MRPT_START
        const int WN = 25, WV = 30;
 
        CParameterizedTrajectoryGenerator::saveToConfigFile(cfg, sSection);
 
        cfg.write(
                sSection, "T_ramp_max", T_ramp_max, WN, WV,
                "Max duration of the velocity interpolation since a vel_cmd is issued "
                "[s].");
        cfg.write(
                sSection, "v_max_mps", V_MAX, WN, WV,
                "Maximum linear velocity for trajectories [m/s].");
        cfg.write(
                sSection, "w_max_dps", mrpt::utils::RAD2DEG(W_MAX), WN, WV,
                "Maximum angular velocity for trajectories [deg/s].");
        cfg.write(
                sSection, "turningRadiusReference", turningRadiusReference, WN, WV,
                "An approximate dimension of the robot (not a critical parameter) "
                "[m].");
 
        cfg.write(
                sSection, "expr_V", expr_V, WN, WV,
                "Math expr for |V| as a function of "
                "`dir`,`V_MAX`,`W_MAX`,`T_ramp_max`.");
        cfg.write(
                sSection, "expr_W", expr_W, WN, WV,
                "Math expr for |omega| (disregarding the sign, only the module) as a "
                "function of `dir`,`V_MAX`,`W_MAX`,`T_ramp_max`.");
        cfg.write(
                sSection, "expr_T_ramp", expr_T_ramp, WN, WV,
                "Math expr for `T_ramp` as a function of "
                "`dir`,`V_MAX`,`W_MAX`,`T_ramp_max`.");
 
        CPTG_RobotShape_Circular::saveToConfigFile(cfg, sSection);
 
        MRPT_END
}
 
std::string CPTG_Holo_Blend::getDescription() const
{
        return mrpt::format(
                "PTG_Holo_Blend_Tramp=%.03f_Vmax=%.03f_Wmax=%.03f", T_ramp_max, V_MAX,
                W_MAX);
}
 
void CPTG_Holo_Blend::readFromStream(mrpt::utils::CStream& in, int version)
{
        CParameterizedTrajectoryGenerator::internal_readFromStream(in);
 
        switch (version)
        {
                case 0:
                case 1:
                case 2:
                case 3:
                case 4:
                        if (version >= 1)
                        {
                                CPTG_RobotShape_Circular::internal_shape_loadFromStream(in);
                        }
 
                        in >> T_ramp_max >> V_MAX >> W_MAX >> turningRadiusReference;
                        if (version == 2)
                        {
                                double dummy_maxAllowedDirAngle;  // removed in v3
                                in >> dummy_maxAllowedDirAngle;
                        }
                        if (version >= 4)
                        {
                                in >> expr_V >> expr_W >> expr_T_ramp;
                        }
                        break;
                default:
                        MRPT_THROW_UNKNOWN_SERIALIZATION_VERSION(version)
        };
}
 
void CPTG_Holo_Blend::writeToStream(
        mrpt::utils::CStream& out, int* version) const
{
        if (version)
        {
                *version = 4;
                return;
        }
 
        CParameterizedTrajectoryGenerator::internal_writeToStream(out);
        CPTG_RobotShape_Circular::internal_shape_saveToStream(out);
 
        out << T_ramp_max << V_MAX << W_MAX << turningRadiusReference;
        out << expr_V << expr_W << expr_T_ramp;
}
 
bool CPTG_Holo_Blend::inverseMap_WS2TP(
        double x, double y, int& out_k, double& out_d, double tolerance_dist) const
{
        PERFORMANCE_BENCHMARK;
 
        MRPT_UNUSED_PARAM(tolerance_dist);
        ASSERT_(x != 0 || y != 0);
 
        const double err_threshold = 1e-3;
        const double T_ramp = T_ramp_max;
        const double vxi = m_nav_dyn_state.curVelLocal.vx,
                                 vyi = m_nav_dyn_state.curVelLocal.vy;
 
        // Use a Newton iterative non-linear optimizer to find the "exact" solution
        // for (t,alpha)
        // in each case: (1) t<T_ramp and (2) t>T_ramp
 
        // Initial value:
        Eigen::Vector3d q;  // [t vxf vyf]
        q[0] = T_ramp_max * 1.1;
        q[1] = V_MAX * x / sqrt(x * x + y * y);
        q[2] = V_MAX * y / sqrt(x * x + y * y);
 
        // Iterate: case (2) t > T_ramp
        double err_mod = 1e7;
        bool sol_found = false;
        for (int iters = 0; !sol_found && iters < 25; iters++)
        {
                const double TR_ = 1.0 / (T_ramp);
                const double TR2_ = 1.0 / (2 * T_ramp);
 
                // Eval residual:
                Eigen::Vector3d r;
                if (q[0] >= T_ramp)
                {
                        r[0] = 0.5 * T_ramp * (vxi + q[1]) + (q[0] - T_ramp) * q[1] - x;
                        r[1] = 0.5 * T_ramp * (vyi + q[2]) + (q[0] - T_ramp) * q[2] - y;
                }
                else
                {
                        r[0] = vxi * q[0] + q[0] * q[0] * TR2_ * (q[1] - vxi) - x;
                        r[1] = vyi * q[0] + q[0] * q[0] * TR2_ * (q[2] - vyi) - y;
                }
                const double alpha = atan2(q[2], q[1]);
                const double V_MAXsq = mrpt::math::square(this->internal_get_v(alpha));
                r[2] = q[1] * q[1] + q[2] * q[2] - V_MAXsq;
 
                // Jacobian: q=[t vxf vyf]   q0=t   q1=vxf   q2=vyf
                //  dx/dt  dx/dvxf  dx/dvyf
                //  dy/dt  dy/dvxf  dy/dvyf
                //  dVF/dt  dVF/dvxf  dVF/dvyf
                Eigen::Matrix3d J;
                if (q[0] >= T_ramp)
                {
                        J(0, 0) = q[1];
                        J(0, 1) = 0.5 * T_ramp + q[0];
                        J(0, 2) = 0.0;
                        J(1, 0) = q[2];
                        J(1, 1) = 0.0;
                        J(1, 2) = 0.5 * T_ramp + q[0];
                }
                else
                {
                        J(0, 0) = vxi + q[0] * TR_ * (q[1] - vxi);
                        J(0, 1) = TR2_ * q[0] * q[0];
                        J(0, 2) = 0.0;
                        J(1, 0) = vyi + q[0] * TR_ * (q[2] - vyi);
                        J(1, 1) = 0.0;
                        J(1, 2) = TR2_ * q[0] * q[0];
                }
                J(2, 0) = 0.0;
                J(2, 1) = 2 * q[1];
                J(2, 2) = 2 * q[2];
 
                Eigen::Vector3d q_incr = J.householderQr().solve(r);
                q -= q_incr;
 
                err_mod = r.norm();
                sol_found = (err_mod < err_threshold);
        }
 
        if (sol_found && q[0] >= .0)
        {
                const double alpha = atan2(q[2], q[1]);
                out_k = CParameterizedTrajectoryGenerator::alpha2index(alpha);
 
                const double solved_t = q[0];
                const unsigned int solved_step = solved_t / PATH_TIME_STEP;
                const double found_dist = this->getPathDist(out_k, solved_step);
 
                out_d = found_dist / this->refDistance;
                return true;
        }
        else
        {
                return false;
        }
}
 
bool CPTG_Holo_Blend::PTG_IsIntoDomain(double x, double y) const
{
        int k;
        double d;
        return inverseMap_WS2TP(x, y, k, d);
}
 
void CPTG_Holo_Blend::internal_deinitialize()
{
        // Nothing to do in a closed-form PTG.
}
 
mrpt::kinematics::CVehicleVelCmd::Ptr CPTG_Holo_Blend::directionToMotionCommand(
        uint16_t k) const
{
        const double dir_local = CParameterizedTrajectoryGenerator::index2alpha(k);
 
        mrpt::kinematics::CVehicleVelCmd_Holo* cmd =
                new mrpt::kinematics::CVehicleVelCmd_Holo();
        cmd->vel = internal_get_v(dir_local);
        cmd->dir_local = dir_local;
        cmd->ramp_time = internal_get_T_ramp(dir_local);
        cmd->rot_speed =
                mrpt::utils::signWithZero(dir_local) * internal_get_w(dir_local);
 
        return mrpt::kinematics::CVehicleVelCmd::Ptr(cmd);
}
 
size_t CPTG_Holo_Blend::getPathStepCount(uint16_t k) const
{
        if (m_pathStepCountCache.size() > k && m_pathStepCountCache[k] > 0)
                return m_pathStepCountCache[k];
 
        uint32_t step;
        if (!getPathStepForDist(k, this->refDistance, step))
        {
                THROW_EXCEPTION_FMT(
                        "Could not solve closed-form distance for k=%u",
                        static_cast<unsigned>(k));
        }
        ASSERT_(step > 0);
        if (m_pathStepCountCache.size() != m_alphaValuesCount)
        {
                m_pathStepCountCache.assign(m_alphaValuesCount, -1);
        }
        m_pathStepCountCache[k] = step;
        return step;
}
 
void CPTG_Holo_Blend::getPathPose(
        uint16_t k, uint32_t step, mrpt::math::TPose2D& p) const
{
        const double t = PATH_TIME_STEP * step;
        const double dir = CParameterizedTrajectoryGenerator::index2alpha(k);
        COMMON_PTG_DESIGN_PARAMS;
        const double wf =
                mrpt::utils::signWithZero(dir) * this->internal_get_w(dir);
        const double TR2_ = 1.0 / (2 * T_ramp);
 
        // Translational part:
        if (t < T_ramp)
        {
                p.x = vxi * t + t * t * TR2_ * (vxf - vxi);
                p.y = vyi * t + t * t * TR2_ * (vyf - vyi);
        }
        else
        {
                p.x = T_ramp * 0.5 * (vxi + vxf) + (t - T_ramp) * vxf;
                p.y = T_ramp * 0.5 * (vyi + vyf) + (t - T_ramp) * vyf;
        }
 
        // Rotational part:
        const double wi = m_nav_dyn_state.curVelLocal.omega;
 
        if (t < T_ramp)
        {
                // Time required to align completed?
                const double a = TR2_ * (wf - wi), b = (wi), c = -dir;
 
                // Solves equation `a*x^2 + b*x + c = 0`.
                double r1, r2;
                int nroots = mrpt::math::solve_poly2(a, b, c, r1, r2);
                if (nroots != 2)
                {
                        p.phi = .0;  // typical case: wi=wf=0
                }
                else
                {
                        const double t_solve = std::max(r1, r2);
                        if (t > t_solve)
                                p.phi = dir;
                        else
                                p.phi = wi * t + t * t * TR2_ * (wf - wi);
                }
        }
        else
        {
                // Time required to align completed?
                const double t_solve = (dir - T_ramp * 0.5 * (wi + wf)) / wf + T_ramp;
                if (t > t_solve)
                        p.phi = dir;
                else
                        p.phi = T_ramp * 0.5 * (wi + wf) + (t - T_ramp) * wf;
        }
}
 
double CPTG_Holo_Blend::getPathDist(uint16_t k, uint32_t step) const
{
        const double t = PATH_TIME_STEP * step;
        const double dir = CParameterizedTrajectoryGenerator::index2alpha(k);
 
        COMMON_PTG_DESIGN_PARAMS;
        const double TR2_ = 1.0 / (2 * T_ramp);
 
        const double k2 = (vxf - vxi) * TR2_;
        const double k4 = (vyf - vyi) * TR2_;
 
        if (t < T_ramp)
        {
                return calc_trans_distance_t_below_Tramp(k2, k4, vxi, vyi, t);
        }
        else
        {
                const double dist_trans =
                        (t - T_ramp) * V_MAX +
                        calc_trans_distance_t_below_Tramp(k2, k4, vxi, vyi, T_ramp);
                return dist_trans;
        }
}
 
bool CPTG_Holo_Blend::getPathStepForDist(
        uint16_t k, double dist, uint32_t& out_step) const
{
        PERFORMANCE_BENCHMARK;
 
        const double dir = CParameterizedTrajectoryGenerator::index2alpha(k);
        COMMON_PTG_DESIGN_PARAMS;
 
        const double TR2_ = 1.0 / (2 * T_ramp);
 
        const double k2 = (vxf - vxi) * TR2_;
        const double k4 = (vyf - vyi) * TR2_;
 
        // --------------------------------------
        // Solution within  t >= T_ramp ??
        // --------------------------------------
        const double dist_trans_T_ramp =
                calc_trans_distance_t_below_Tramp(k2, k4, vxi, vyi, T_ramp);
        double t_solved = -1;
 
        if (dist >= dist_trans_T_ramp)
        {
                // Good solution:
                t_solved = T_ramp + (dist - dist_trans_T_ramp) / V_MAX;
        }
        else
        {
                // ------------------------------------
                // Solutions within t < T_ramp
                //
                // Cases:
                // 1) k2=k4=0  --> vi=vf. Path is straight line
                // 2) b=c=0     -> vi=0
                // 3) Otherwise, general case
                // ------------------------------------
                if (std::abs(k2) < eps && std::abs(k4) < eps)
                {
                        // Case 1
                        t_solved = (dist) / V_MAX;
                }
                else
                {
                        const double a = ((k2 * k2) * 4.0 + (k4 * k4) * 4.0);
                        const double b = (k2 * vxi * 4.0 + k4 * vyi * 4.0);
                        const double c = (vxi * vxi + vyi * vyi);
 
                        // Numerically-ill case: b=c=0 (initial vel=0)
                        if (std::abs(b) < eps && std::abs(c) < eps)
                        {
                                // Case 2:
                                t_solved = sqrt(2.0) * 1.0 / pow(a, 1.0 / 4.0) * sqrt(dist);
                        }
                        else
                        {
                                // Case 3: general case with non-linear equation:
                                // dist = (t/2 + b/(4*a))*(a*t^2 + b*t + c)^(1/2) -
                                // (b*c^(1/2))/(4*a) + (log((b/2 + a*t)/a^(1/2) + (a*t^2 + b*t +
                                // c)^(1/2))*(- b^2/4 + a*c))/(2*a^(3/2)) - (log((b +
                                // 2*a^(1/2)*c^(1/2))/(2*a^(1/2)))*(- b^2/4 + a*c))/(2*a^(3/2))
                                // dist =
                                // (t*(1.0/2.0)+(b*(1.0/4.0))/a)*sqrt(c+b*t+a*(t*t))-(b*sqrt(c)*(1.0/4.0))/a+1.0/pow(a,3.0/2.0)*log(1.0/sqrt(a)*(b*(1.0/2.0)+a*t)+sqrt(c+b*t+a*(t*t)))*(a*c-(b*b)*(1.0/4.0))*(1.0/2.0)-1.0/pow(a,3.0/2.0)*log(1.0/sqrt(a)*(b+sqrt(a)*sqrt(c)*2.0)*(1.0/2.0))*(a*c-(b*b)*(1.0/4.0))*(1.0/2.0);
 
                                // We must solve this by iterating:
                                // Newton method:
                                // Minimize f(t)-dist = 0
                                //  with: f(t)=calc_trans_distance_t_below_Tramp_abc(t)
                                //  and:  f'(t) = sqrt(a*t^2+b*t+c)
 
                                t_solved = T_ramp * 0.6;  // Initial value for starting
                                // interation inside the valid domain
                                // of the function t=[0,T_ramp]
                                for (int iters = 0; iters < 10; iters++)
                                {
                                        double err = calc_trans_distance_t_below_Tramp_abc(
                                                                         t_solved, a, b, c) -
                                                                 dist;
                                        const double diff =
                                                std::sqrt(a * t_solved * t_solved + b * t_solved + c);
                                        ASSERT_(std::abs(diff) > 1e-40);
                                        t_solved -= (err) / diff;
                                        if (t_solved < 0) t_solved = .0;
                                        if (std::abs(err) < 1e-3) break;  // Good enough!
                                }
                        }
                }
        }
        if (t_solved >= 0)
        {
                out_step = mrpt::utils::round(t_solved / PATH_TIME_STEP);
                return true;
        }
        else
                return false;
}
 
void CPTG_Holo_Blend::updateTPObstacleSingle(
        double ox, double oy, uint16_t k, double& tp_obstacle_k) const
{
        const double R = m_robotRadius;
        const double dir = CParameterizedTrajectoryGenerator::index2alpha(k);
        COMMON_PTG_DESIGN_PARAMS;
 
        const double TR2_ = 1.0 / (2 * T_ramp);
        const double TR_2 = T_ramp * 0.5;
        const double T_ramp_thres099 = T_ramp * 0.99;
        const double T_ramp_thres101 = T_ramp * 1.01;
 
        double sol_t = -1.0;  // candidate solution for shortest time to collision
 
        // Note: It's tempting to try to solve first for t>T_ramp because it has
        // simpler (faster) equations,
        // but there are cases in which we will have valid collisions for t>T_ramp
        // but other valid ones
        // for t<T_ramp as well, so the only SAFE way to detect shortest distances
        // is to check over increasing values of "t".
 
        // Try to solve first for t<T_ramp:
        const double k2 = (vxf - vxi) * TR2_;
        const double k4 = (vyf - vyi) * TR2_;
 
        // equation: a*t^4 + b*t^3 + c*t^2 + d*t + e = 0
        const double a = (k2 * k2 + k4 * k4);
        const double b = (k2 * vxi * 2.0 + k4 * vyi * 2.0);
        const double c = -(k2 * ox * 2.0 + k4 * oy * 2.0 - vxi * vxi - vyi * vyi);
        const double d = -(ox * vxi * 2.0 + oy * vyi * 2.0);
        const double e = -R * R + ox * ox + oy * oy;
 
        double roots[4];
        int num_real_sols = 0;
        if (std::abs(a) > eps)
        {
                // General case: 4th order equation
                // a * x^4 + b * x^3 + c * x^2 + d * x + e
                num_real_sols =
                        mrpt::math::solve_poly4(roots, b / a, c / a, d / a, e / a);
        }
        else if (std::abs(b) > eps)
        {
                // Special case: k2=k4=0 (straight line path, no blend)
                // 3rd order equation:
                // b * x^3 + c * x^2 + d * x + e
                num_real_sols = mrpt::math::solve_poly3(roots, c / b, d / b, e / b);
        }
        else
        {
                // Special case: 2nd order equation (a=b=0)
                const double discr = d * d - 4 * c * e;  // c*t^2 + d*t + e = 0
                if (discr >= 0)
                {
                        num_real_sols = 2;
                        roots[0] = (-d + sqrt(discr)) / (2 * c);
                        roots[1] = (-d - sqrt(discr)) / (2 * c);
                }
                else
                {
                        num_real_sols = 0;
                }
        }
 
        for (int i = 0; i < num_real_sols; i++)
        {
                if (roots[i] == roots[i] &&  // not NaN
                        std::isfinite(roots[i]) && roots[i] >= .0 &&
                        roots[i] <= T_ramp * 1.01)
                {
                        if (sol_t < 0)
                                sol_t = roots[i];
                        else
                                mrpt::utils::keep_min(sol_t, roots[i]);
                }
        }
 
        // Invalid with these equations?
        if (sol_t < 0 || sol_t > T_ramp_thres101)
        {
                // Now, attempt to solve with the equations for t>T_ramp:
                sol_t = -1.0;
 
                const double c1 = TR_2 * (vxi - vxf) - ox;
                const double c2 = TR_2 * (vyi - vyf) - oy;
 
                const double a = vf_mod * vf_mod;
                const double b = 2 * (c1 * vxf + c2 * vyf);
                const double c = c1 * c1 + c2 * c2 - R * R;
 
                const double discr = b * b - 4 * a * c;
                if (discr >= 0)
                {
                        const double sol_t0 = (-b + sqrt(discr)) / (2 * a);
                        const double sol_t1 = (-b - sqrt(discr)) / (2 * a);
 
                        // Identify the shortest valid collision time:
                        if (sol_t0 < T_ramp && sol_t1 < T_ramp)
                                sol_t = -1.0;
                        else if (sol_t0 < T_ramp && sol_t1 >= T_ramp_thres099)
                                sol_t = sol_t1;
                        else if (sol_t1 < T_ramp && sol_t0 >= T_ramp_thres099)
                                sol_t = sol_t0;
                        else if (sol_t1 >= T_ramp_thres099 && sol_t0 >= T_ramp_thres099)
                                sol_t = std::min(sol_t0, sol_t1);
                }
        }
 
        // Valid solution?
        if (sol_t < 0) return;
        // Compute the transversed distance:
        double dist;
 
        if (sol_t < T_ramp)
                dist = calc_trans_distance_t_below_Tramp(k2, k4, vxi, vyi, sol_t);
        else
                dist = (sol_t - T_ramp) * V_MAX +
                           calc_trans_distance_t_below_Tramp(k2, k4, vxi, vyi, T_ramp);
 
        // Store in the output variable:
        internal_TPObsDistancePostprocess(ox, oy, dist, tp_obstacle_k);
}
 
void CPTG_Holo_Blend::updateTPObstacle(
        double ox, double oy, std::vector<double>& tp_obstacles) const
{
        PERFORMANCE_BENCHMARK;
 
        for (unsigned int k = 0; k < m_alphaValuesCount; k++)
        {
                updateTPObstacleSingle(ox, oy, k, tp_obstacles[k]);
        }  // end for each "k" alpha
}
 
void CPTG_Holo_Blend::internal_processNewRobotShape()
{
        // Nothing to do in a closed-form PTG.
}
 
mrpt::kinematics::CVehicleVelCmd::Ptr
        CPTG_Holo_Blend::getSupportedKinematicVelocityCommand() const
{
        return mrpt::kinematics::CVehicleVelCmd::Ptr(
                new mrpt::kinematics::CVehicleVelCmd_Holo());
}
 
bool CPTG_Holo_Blend::supportVelCmdNOP() const { return true; }
double CPTG_Holo_Blend::maxTimeInVelCmdNOP(int path_k) const
{
        //      const double dir_local =
        // CParameterizedTrajectoryGenerator::index2alpha(path_k);
 
        const size_t nSteps = getPathStepCount(path_k);
        const double max_t =
                PATH_TIME_STEP *
                (nSteps *
                 0.7 /* leave room for obstacle detection ahead when we are far down the predicted PTG path */);
        return max_t;
}
 
double CPTG_Holo_Blend::getPathStepDuration() const { return PATH_TIME_STEP; }
CPTG_Holo_Blend::CPTG_Holo_Blend()
        : T_ramp_max(-1.0), V_MAX(-1.0), W_MAX(-1.0), turningRadiusReference(0.30)
{
        internal_construct_exprs();
}
 
CPTG_Holo_Blend::CPTG_Holo_Blend(
        const mrpt::utils::CConfigFileBase& cfg, const std::string& sSection)
        : turningRadiusReference(0.30)
{
        internal_construct_exprs();
        this->loadFromConfigFile(cfg, sSection);
}
 
CPTG_Holo_Blend::~CPTG_Holo_Blend() {}
void CPTG_Holo_Blend::internal_construct_exprs()
{
        std::map<std::string, double*> symbols;
        symbols["dir"] = &m_expr_dir;
        symbols["V_MAX"] = &V_MAX;
        symbols["W_MAX"] = &W_MAX;
        symbols["T_ramp_max"] = &T_ramp_max;
        symbols["T_ramp_max"] = &T_ramp_max;
 
        m_expr_v.register_symbol_table(symbols);
        m_expr_w.register_symbol_table(symbols);
        m_expr_T_ramp.register_symbol_table(symbols);
 
        // Default expressions (can be overloaded by values in a config file)
        expr_V = "V_MAX";
        expr_W = "W_MAX";
        expr_T_ramp = "T_ramp_max";
}
 
double CPTG_Holo_Blend::internal_get_v(const double dir) const
{
        const_cast<double&>(m_expr_dir) = dir;
        return std::abs(m_expr_v.eval());
}
double CPTG_Holo_Blend::internal_get_w(const double dir) const
{
        const_cast<double&>(m_expr_dir) = dir;
        return std::abs(m_expr_w.eval());
}
double CPTG_Holo_Blend::internal_get_T_ramp(const double dir) const
{
        const_cast<double&>(m_expr_dir) = dir;
        return m_expr_T_ramp.eval();
}
 
void CPTG_Holo_Blend::internal_initialize(
        const std::string& cacheFilename, const bool verbose)
{
        // No need to initialize anything, just do some params sanity checks:
        ASSERT_(T_ramp_max > 0);
        ASSERT_(V_MAX > 0);
        ASSERT_(W_MAX > 0);
        ASSERT_(m_alphaValuesCount > 0);
        ASSERT_(m_robotRadius > 0);
 
        // Compile user-given expressions:
        m_expr_v.compile(expr_V, std::map<std::string, double>(), "expr_V");
        m_expr_w.compile(expr_W, std::map<std::string, double>(), "expr_w");
        m_expr_T_ramp.compile(
                expr_T_ramp, std::map<std::string, double>(), "expr_T_ramp");
 
#ifdef DO_PERFORMANCE_BENCHMARK
        tl.dumpAllStats();
#endif
 
        m_pathStepCountCache.clear();
}