🚗 Predict multi-agent trajectories for autonomous vehicles using advanced models on the Argoverse 2 dataset, enhancing motion forecasting capabilities.
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Updated
Nov 13, 2025 - Python
🚗 Predict multi-agent trajectories for autonomous vehicles using advanced models on the Argoverse 2 dataset, enhancing motion forecasting capabilities.
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🚗 Analyze and visualize decision-making in autonomous driving RL agents using Integrated Gradients for clearer interpretability in complex driving tasks.
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Open-source simulator for autonomous driving research.
An advanced computer vision system for autonomous vehicles, implementing a comprehensive pipeline from camera calibration to lane boundary visualization.
Production-grade GPU acceleration for robot learning. 10-20× faster training on NVIDIA H100/A100. Nsight validated.
last 7 days arxiv papers about autonomous driving
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
Official implementation of AirV2X: Unified Air-Ground\\Vehicle-to-Everything Collaboration
📦 eCAL - enhanced Communication Abstraction Layer. A high performance publish-subscribe, client-server cross-plattform middleware.
This repository offers code to reuse methodology and repeat experiments in the study "Learning Collision Risk Proactively from Naturalistic Driving at Scale".
Python sample codes and textbook for robotics algorithms.
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