🚗 Predict multi-agent trajectories for autonomous vehicles using advanced models on the Argoverse 2 dataset, enhancing motion forecasting capabilities.
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Updated
Apr 1, 2026 - Python
🚗 Predict multi-agent trajectories for autonomous vehicles using advanced models on the Argoverse 2 dataset, enhancing motion forecasting capabilities.
Numpy-only dynamic object removal for LiDAR point clouds. 3D box crop + temporal filtering, ROS2 realtime node, public AV2 demos.
[ICCV 2025] DONUT: A Decoder-Only Model for Trajectory Prediction
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
"Official code for TCRAT-Pred: Multi-Agents Trajectory Prediction for Autonomous Vehicles with Multi-Modal Predictions (IEEE CogInfoCom 2024)"
[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
This is useful to debug the Argoverse V1.1 dataset.
[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network-xinguipeng
The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
[CVPR 2024 MULA]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
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.
Official github for Delay-adaptive Detector
[CVPR 2023] Query-Centric Trajectory Prediction
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
Long Range 3D Perception - VoxelNeXt (CVPR 2023)
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
Seperate dual lidar lasers and load the intensity and ring-numbers for better control over lidar data. Using Argoverse dataset.
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