Popular GitHub Repositories for Collision Checking

? A refreshing functional take on deep learning, compatible with your favorite libraries

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)

FacTool: Factuality Detection in Generative AI

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

? No need to keep checking your training - just one import line and you'll know the second it's done.

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

LV-DOT: LiDAR-Visual Dynamic Obstacle Detection and Tracking (C++/Python/ROS)

Autonomous UAV Navigation without Collision using Visual Information in Airsim

A curated list of robot social navigation.

The modern spam protection. Protects your forms from spam by simply checking the content. Open source, Free to use, Accessible, and Self-Hosted.

[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision