[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

12306车票自购

[CVPR 2024] Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications

1.chatGPT注册 2.chatGPT成品项目整理 3.高效使用chatGPT的小技巧 ↓演示网站

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.

A Non-Uniform Quadtree Map Building Method Including Dead-End Semantics Extraction

This library contains fast and sparse implementations of multi-dimensional map representations using Normal Distributions Transforms.

Visual point cloud ndt_omp matching with prior 3D LiDAR Map

[RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.

2.5D-NDT map: version 1.0

Optimal Motion Generation-tools: motion planning made easy

This repostory contains software for the virtual track of the DARPA SubT Challenge. Within this repository you will find Gazebo simulation assets, ROS interfaces, support scripts and plugins, and d…

A new voxel layer leveraging modern 3D graphics tools to modernize navigation environmental representations

Here is the method to build a grid map and get rid of the laser distortion

Information Theoretic Exploration with GP and BO

[ICUS 2021 Best Paper/US 2023] Mutual Pose Recognition Based on Multiple Cues in Multi-Robot Systems.

Recognize stairs with lidar.

The code for calibration between lidars. (Chinese Version)

AMCL ROS package reimplementation for using GNSS data

Spiritual successor to ros-planning/navigation.

Experimental navigation techniques for ROS robots.