flclain's repositories
AutoDrive-GTA5
Autonomous Driving simulation in GTA 5 game
DetZero
DetZero
DriveLikeAHuman
Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Driving-with-LLMs
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
End-to-end-Autonomous-Driving
All you need for End-to-end Autonomous Driving
forecast-mae
[ICCV'2023] Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
GameFormer
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
GameFormer-Planner
[ICCV 2023 & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles
GPT-Driver
Learning to Drive with GPT
GroundingDINO
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
HPTR
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.
Joint-Multipathpp
Joint Multipath++(2nd) for Sim Agent in waymo competition 2023 of CVPR workshop
lidar-nerf
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
mars
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2
nuplan_garage
[ARXIV'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
planTF
[arXiv'2023] Rethink Imitation-based Planner for Autonomous Driving
QCNet
[CVPR 2023] Query-Centric Trajectory Prediction
RMP
Implementation of "RMP: A Random Mask Pretrain Framework for Motion Prediction"
road-barlow-twins
Self-supervised pre-training method and transformer model for motion prediction
scenarionet
ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving
SceneInformer
This is the official implementation of the paper "Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments" by Bernard Lange, Jiachen Li, and Mykel J. Kochenderfer.
tip
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving (ICML 2023)
tnt_vectornet_with_tensorrt
Vectornet with tensorrt deploy, less than 1ms/object for inference.
trader
交易模块
trajdata
A unified interface to many trajectory forecasting datasets.
trt-samples-for-hackathon-cn
Simple samples for TensorRT programming
VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving