zjxxx's repositories
full_coverage_path_planner
Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area
AVP-SLAM-SIM
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
CartesianPlanner
Source codes related to “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems
complete_coverage
ROS implementation of online complete coverage maneuvering for unmanned surface vehicles
cpp-docs
C++ Documentation
dynamic_obstacle_avoidance_planner
Collision prediction based dynamic obstacle avoidance planner
EffectiveModernCppChinese
《Effective Modern C++》翻译 - 2020更新中
far_planner
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
faster
3D Trajectory Planner in Unknown Environments
global_racetrajectory_optimization
This repository contains multiple approaches for generating global racetrajectories.
ground_based_autonomy_basic
Autonomous Navigation and Collision Avoidance for Ground Robots
hdcp_planning
RAL/IROS 2020: Online Hex-Decomposed Coverage Planning (HDCP) Algorithm
hello-algorithm
🇨🇳🇨🇳🇨🇳 本项目包括：1、我写的三十万字图解算法题典 2、100 张编程类超清晰思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、小浩算法网站源代码 （ 🚀🚀 国人项目上榜首不易，右上角助力一波！干就对了，奥利给 ！🚀🚀）
lexicographic_planning
A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways
lsc_planner
Online multi-agent trajectory planner using linear safe corridor (LSC)
mpc_lib
Package for implementation of Model Predictive Control in Autonomous Bots
path_optimizer
Real-time path planning for non-holonomic vehicles.
PathPlanning
Common used path planning algorithms with animations.
state_lattice_planner
ROS implementation of State Lattice Planner
TeachYourselfCS-CN
TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS
velocity_optimization
Optimizes (Maximizes) the velocity profile for a vehicle with respect to physical constraints (e.g., power, force, combined acceleration, ...). Takes into account a variable friction potential between road and tires. Max. power input can be variable (for e.g., energy strategy purpose).