activity
20242026
collaborators

7 papers

cs.RO2026

Data-Driven Risk Fields for Safer End-to-End Autonomous Driving

Yuanxin Tian, Zhiyuan Liu, Jinhao Li +9

Safety is a fundamental requirement for autonomous driving, yet existing end-to-end driving models still lack explicit risk-aware learning capacities. Existing rule-based risk mode…

cs.CV2026

From Scene to Object: Text-Guided Dual-Gaze Prediction

Zehong Ke, Yanbo Jiang, Jinhao Li +5

Interpretable driver attention prediction is crucial for human-like autonomous driving. However, existing datasets provide only scene-level global gaze rather than fine-grained obj…

cs.RO2025

Modified-Emergency Index (MEI): A Criticality Metric for Autonomous Driving in Lateral Conflict

Hao Cheng, Yanbo Jiang, Qingyuan Shi +5

Effective, reliable, and efficient evaluation of autonomous driving safety is essential to demonstrate its trustworthiness. Criticality metrics provide an objective means of assess…

cs.AI2025

LinguaSim: Interactive Multi-Vehicle Testing Scenario Generation via Natural Language Instruction Based on Large Language Models

Qingyuan Shi, Qingwen Meng, Hao Cheng +2

The generation of testing and training scenarios for autonomous vehicles has drawn significant attention. While Large Language Models (LLMs) have enabled new scenario generation me…

cs.RO2025

Predictive Risk Analysis and Safe Trajectory Planning for Intelligent and Connected Vehicles

Zeyu Han, Mengchi Cai, Chaoyi Chen +6

The safe trajectory planning of intelligent and connected vehicles is a key component in autonomous driving technology. Modeling the environment risk information by field is a prom…

eess.SY2024

EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications

Junkai Jiang, Zeyu Han, Yuning Wang +4

Driving risk assessment is crucial for both autonomous vehicles and human-driven vehicles. The driving risk can be quantified as the product of the probability that an event (such…

cs.RO2024

DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds

Zeyu Han, Junkai Jiang, Xiaokang Ding +4

The 4D millimeter-wave (mmWave) radar, with its robustness in extreme environments, extensive detection range, and capabilities for measuring velocity and elevation, has demonstrat…