1 citations · 2 across the 4 of their papers we have counts for
5 papers
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…
AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software
Shengming Yuan, Hao Zhou
As transportation technology advances, the demand for connected vehicle infrastructure has greatly increased to improve their efficiency and safety. One area of advancement, Cooper…
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…