An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
Collision Avoidance System for Self-Driving Vehicles by Delta Autonomy, Robotics Institute, CMU
要学习无人机规划算法,首先要理解地图的表示形式,个人认为这是非常关键的一步。该代码包括了Voxblox地图表示、全局规划、局部规划、路径平滑等算法,对于规划初学者来说是一个很好的学习资料。 论文链接: [1] Voxblox: Incremental 3D Euclidean Signed Distance Fields for On-Board MAV Planning [2] Continuous-Time Trajectory Optimization for Online UAV Replanning [3] Receding horizon path planning for 3D exploration and surface inspection [4] Safe Local Exploration for Replanning in Cluttered Unknown Environments for Micro-Aerial Vehicles [5] Sparse 3D Topological Graphs for Micro-Aerial Vehicle
This repository contains the MATLAB code for the Sampling based algorithms RRT, RRT* and Informed RRT*. The project was done as a part of course ENPM661 Planning for Autonomous Robots in Spring 2018 semester at University of Maryland.
pytorch->onnx->tensorrt 工具链
读书笔记《无人驾驶车辆模型预测控制》- 龚建伟