xxje-library Goto Github PK

--original--trajectory-optimization-based-on-bezier-polynomial-motion-planning-

基于贝赛尔曲线的轨迹优化： 前段：Astar寻径 后端：运动走廊膨胀＋Bezier

2447643603jzp

Config files for my GitHub profile.

a-start-with-b-spline

A star path planning with b-spline trajectory smoothing

ae450

afformer

agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

ardupilot

ArduPlane, ArduCopter, ArduRover, ArduSub source

astar-jps-algorithm

Implementation of A* and JPS algorithms in ROS

avem

🚁 轻量级无人机飞控-[Drone]-[STM32]-[PID]-[BLDC]

awesome-robotics-notes

A comprehensive guide to fundamental topics in robotics

bisenet

Add bisenetv2. My implementation of BiSeNet

bnuksearch

bspline_trajectory_ros

Unconstrained optimization for bspline with trajectory server for ROS

btraj

Bezier Trajectory Generation for Autonomous Quadrotor, ICRA 2018

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

cmake-examples

Useful CMake Examples

control-of-quadrotor

🛸 Developed PID controllers for controlling quadrotors in 1-D, 2-D, and 3-D control in MATLAB simulation environment.

convex-hull

Convex hull of given 3D points

convhull_3d

A header-only C implementation of the Quickhull algorithm for building N-dimensional Convex Hulls and Delaunay meshes

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

cv-algorithms

Implementations of Computer Vision algorithms described in my blog posts on http://pramodatre.github.io/

d-map

D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.

decompros

A ROS wrapper for implementing convex decomposition

deepsort

support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

def

Summary at the end of a learning period

denseflow

Extracting optical flow and frames

density_planner

Official code for "Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability"

disparity

This implementation takes in two images with epipolar rectification and computes the disparity between the images. For a stereo pair, intrinsic parameters must be known in order to rectify the images and in consecutive monocular images, both intrinsic and extrinsic parameters must be known for epipolar rectification.

disparity-map

Disparity maps using various algorithms

dsp-map