Conditional Random Fields

RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2

Rotating FMCW Radar Simulation in Gazebo

Scene Spatio-Temporal Graph Convolutional Network for Pedestrian Intention Estimation

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiase…

Framework to transform natural language into formal language (Temporal Logics).

nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models

Specification-based real-time monitoring library

[WAVC'24 Workshop] Human-Centric Autonomous Systems With LLMs for User Command Reasoning

Code repository for SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

MetaDrive: Lightweight driving simulator for everyone

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Python car simulator - controlled with keyboard input and based on Dubins model

DBSCAN and VARMAX based trajectory and collision prediction of vessels using Automatic Identification System data.

Python Implementation of Reciprocal Velocity Obstacle for Multi-agent Systems

Free Navigation Of Multiple Agents

[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

A Simple Baseline for BEV Perception

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[ICLR 2024] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Official implementation of our RAL'24 paper: Multi-Camera Unified Pre-training for Autonomous Driving

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

[IROS 2024] Official implementation of paper: DriVLMe: "Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experience"s

[CVPR 2024] LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)

Mobile Sensing and Robotics Course - 2020/21 By Prof. C. Stachniss

Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV

Occupancy grid mapping based on 2D Lidar data assuming perfect knowledge of a robot's trajectory.