1 citations · 2 across the 13 of their papers we have counts for
6 papers
Cut-In Gap Acceptance Toward Autonomous vs. Human-Driven Vehicles: Evidence from the Waymo Open Motion Dataset
Abdulaziz Alhuraish, Yuhang Wang, Hao Zhou
Autonomous vehicles (AVs) are widely known to follow conservative, rule-based motion policies that surrounding drivers can learn to anticipate. A direct consequence is that human d…
ADAS-TO: A Large-Scale Multimodal Naturalistic Dataset and Empirical Characterization of Human Takeovers during ADAS Engagement
Yuhang Wang, Yiyao Xu, Jingran Sun +1
Takeovers remain a key safety vulnerability in production ADAS, yet existing public resources rarely provide takeover-centered, real-world data. We present ADAS-TO, the first large…
Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems
Yuhang Wang, Hao Zhou
Lane Keeping Assist systems, while increasingly prevalent, often suffer from unpredictable real-world failures, largely due to their opaque, black-box nature, which limits driver a…
Empirical Performance Evaluation of Lane Keeping Assist on Modern Production Vehicles
Yuhang Wang, Abdulaziz Alhuraish, Shuyi Wang +1
Leveraging a newly released open dataset of Lane Keeping Assist (LKA) systems from production vehicles, this paper presents the first comprehensive empirical analysis of real-world…
OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models under Real-world Driving Conditions
Yuhang Wang, Abdulaziz Alhuraish, Shengming Yuan +1
Lane Keeping Assist (LKA) is widely adopted in modern vehicles, yet its real-world performance remains underexplored due to proprietary systems and limited data access. This paper…
OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles
Yuhang Wang, Abdulaziz Alhuraish, Shengming Yuan +2
The Lane Keeping Assist (LKA) system has become a standard feature in recent car models. While marketed as providing auto-steering capabilities, the system's operational characteri…