VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
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Updated
Jun 3, 2023 - Python
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
[CVPR 2023] Query-Centric Trajectory Prediction
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the updated version: https://github.com/zhejz/TrafficBotsV1.5
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
[ICCV 2025] DONUT: A Decoder-Only Model for Trajectory Prediction
This repository contains our work on a comprehensive investigation on motion prediction for Autonomous Vehicles using the PowerBEV framework and a Multi-Camera setup. Validated trajectory forecasting capabilities on the NuScenes, Woven and Argoverse datasets and identified challenges in model generalization across these datasets.
Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
PointRCNN configured to Argoverse/Custom dataset
Official github for Delay-adaptive Detector
A repo for participating in argoai tracking test
Seperate dual lidar lasers and load the intensity and ring-numbers for better control over lidar data. Using Argoverse dataset.
"Official code for TCRAT-Pred: Multi-Agents Trajectory Prediction for Autonomous Vehicles with Multi-Modal Predictions (IEEE CogInfoCom 2024)"
🚗 Predict multi-agent trajectories for autonomous vehicles using advanced models on the Argoverse 2 dataset, enhancing motion forecasting capabilities.
A tool to translate Argoverse into KITTI dataset format
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