lzrbit

argoverse-api

Official GitHub repository for Argoverse dataset

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

BLVD

Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

D-GSM

This is the official code of the paper "Continual Interactive Behavior Learning With Scenarios Divergence Measurement: A Dynamic Gradient Scenario Memory Approach",Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong. The paper is submitted to IEEE Transanctions on Intelligent Transportation Systems.

interaction-dataset

lzrbit.github.io

A simple and elegant Jekyll theme for an academic personal homepage

MATS

Code accompanying the CoRL 2020 paper "MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control" by Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, and Marco Pavone.

nuscenes-devkit

The devkit of the nuScenes dataset.

RL-based-Transferable-EMS

[IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.

TorchGRL

TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.

lzrbit/interaction-dataset

lzrbit/D-GSM

This is the official code of the paper "Continual Interactive Behavior Learning With Scenarios Divergence Measurement: A Dynamic Gradient Scenario Memory Approach",Yunlong Lin, Zirui Li, Cheng Gong, Chao Lu, Xinwei Wang, Jianwei Gong. The paper is submitted to IEEE Transanctions on Intelligent Transportation Systems.

lzrbit/argoverse-api

Official GitHub repository for Argoverse dataset

lzrbit/argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

lzrbit/BLVD

Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

lzrbit/lzrbit.github.io

A simple and elegant Jekyll theme for an academic personal homepage

lzrbit/MATS

Code accompanying the CoRL 2020 paper "MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control" by Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, and Marco Pavone.

lzrbit/nuscenes-devkit

The devkit of the nuScenes dataset.

lzrbit/RL-based-Transferable-EMS

[IV 2022] A Comparative Study of Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles.

lzrbit/TorchGRL

TorchGRL is the source code for our paper Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments.