:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Qichao, Huang, Heye, Zhao, Shiyue, Shi, Lei, Ahn, Soyoung, Li, Xiaopeng
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning
Online Access:	https://arxiv.org/abs/2504.15541
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving
by: Huang, Heye, et al.
Published: (2025)

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models
by: Zhou, Zhiyuan, et al.
Published: (2024)

SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning
by: Zhao, Shiyue, et al.
Published: (2025)

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving
by: Xiong, Chen, et al.
Published: (2026)

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
by: NVIDIA, et al.
Published: (2025)

Driving Through Uncertainty: Risk-Averse Control with LLM Commonsense for Autonomous Driving under Perception Deficits
by: Hu, Yuting, et al.
Published: (2025)

Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions
by: Wang, Jing, et al.
Published: (2025)

Ethics-Aware Safe Reinforcement Learning for Rare-Event Risk Control in Interactive Urban Driving
by: Li, Dianzhao, et al.
Published: (2025)

Surprise Potential as a Measure of Interactivity in Driving Scenarios
by: Ding, Wenhao, et al.
Published: (2025)

UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios
by: Mahjourian, Reza, et al.
Published: (2024)

EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
by: Wang, Yuping, et al.
Published: (2023)

DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2026)

MMD-OPT : Maximum Mean Discrepancy Based Sample Efficient Collision Risk Minimization for Autonomous Driving
by: Sharma, Basant, et al.
Published: (2024)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)

CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
by: Zhang, Junrui, et al.
Published: (2025)

Fair and Safe: A Real-Time Hierarchical Control Framework for Intersections
by: Shi, Lei, et al.
Published: (2025)

Dream to Drive with Predictive Individual World Model
by: Gao, Yinfeng, et al.
Published: (2025)

RiskBench: A Scenario-based Benchmark for Risk Identification
by: Kung, Chi-Hsi, et al.
Published: (2023)

Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving
by: Zhou, Xiaoshan, et al.
Published: (2025)

Deep Reinforcement Learning for Advanced Longitudinal Control and Collision Avoidance in High-Risk Driving Scenarios
by: Chen, Dianwei, et al.
Published: (2024)

V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
by: You, Junwei, et al.
Published: (2024)

High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles
by: Zhao, Shiyue, et al.
Published: (2024)

Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding
by: Samiuddin, Jilan, et al.
Published: (2024)

Multi-vessel Interaction-Aware Trajectory Prediction and Collision Risk Assessment
by: Alam, Md Mahbub, et al.
Published: (2025)

CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving
by: Mirkhani, Hamidreza, et al.
Published: (2025)

RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
by: Wang, Jiawei, et al.
Published: (2025)

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
by: Lee, Sang-Hyun, et al.
Published: (2023)

Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios
by: Zhang, Feihong, et al.
Published: (2025)

HERMES: A Holistic End-to-End Risk-Aware Multimodal Embodied System with Vision-Language Models for Long-Tail Autonomous Driving
by: Tang, Weizhe, et al.
Published: (2026)

Motion Forecasting via Model-Based Risk Minimization
by: Distelzweig, Aron, et al.
Published: (2024)

On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows
by: Tee, Jia Yu, et al.
Published: (2023)

ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
by: Dong, Yinke, et al.
Published: (2024)

Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems
by: de Gelder, Erwin, et al.
Published: (2025)

AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion
by: Xie, Yuting, et al.
Published: (2024)

SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
by: Stoler, Benjamin, et al.
Published: (2024)

Hybrid-Prediction Integrated Planning for Autonomous Driving
by: Liu, Haochen, et al.
Published: (2024)

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects
by: Cui, Yixin, et al.
Published: (2025)

Scenario-based Compositional Verification of Autonomous Systems with Neural Perception
by: Watson, Christopher, et al.
Published: (2025)

SCOUT: A Lightweight Framework for Scenario Coverage Assessment in Autonomous Driving
by: Yildiz, Anil, et al.
Published: (2025)

Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
by: Schneider, Lukas, et al.
Published: (2023)