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Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
Autonomous driving system aims for safe and social-consistent driving through the
behavioral integration among interactive agents. However, challenges remain due to multi …
behavioral integration among interactive agents. However, challenges remain due to multi …
Decoupling Motion Forecasting into Directional Intentions and Dynamic States
Accurate motion forecasting for traffic agents is crucial for ensuring the safety and efficiency
of autonomous driving systems in dynamically changing environments. Mainstream methods …
of autonomous driving systems in dynamically changing environments. Mainstream methods …
Transfer Learning Study of Motion Transformer-based Trajectory Predictions*
L Ullrich, A McMaster, K Graichen - 2024 IEEE Intelligent …, 2024 - ieeexplore.ieee.org
Trajectory planning in autonomous driving is highly dependent on predicting the emergent
behavior of other road users. Learning-based methods are currently showing impressive …
behavior of other road users. Learning-based methods are currently showing impressive …
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
Trajectory prediction is significant for intelligent vehicles to achieve high-level autonomous
driving, and a lot of relevant research achievements have been made recently. Despite the …
driving, and a lot of relevant research achievements have been made recently. Despite the …
RMP-YOLO: A Robust Motion Predictor for Partially Observable Scenarios even if You Only Look Once
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation
S Son, L Zheng, B Clipp, C Greenwell, S Philip… - arxiv preprint arxiv …, 2024 - arxiv.org
We present a parallelized differentiable traffic simulator based on the Intelligent Driver
Model (IDM), a car-following framework that incorporates driver behavior as key variables …
Model (IDM), a car-following framework that incorporates driver behavior as key variables …
ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling
Z Zhou, H Zhou, H Hu, Z Wen, J Wang, YH Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Anticipating the multimodality of future events lays the foundation for safe autonomous
driving. However, multimodal motion prediction for traffic agents has been clouded by the …
driving. However, multimodal motion prediction for traffic agents has been clouded by the …