457 citations · 845 across the 36 of their papers we have counts for
8 papers · 1 filter
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
Songan Zhang, Huei Peng, Subramanya Nageshrao +1
Deep reinforcement learning methods have been widely used in recent years for autonomous vehicle's decision-making. A key issue is that deep neural networks can be fragile to adver…
Enhancing the performance of a safe controller via supervised learning for truck lateral control
Yuxiao Chen, Ayonga Hereid, Huei Peng +1
Correct-by-construction techniques, such as control barrier functions (CBFs), can be used to guarantee closed-loop safety by acting as a supervisor of an existing or legacy control…
Optimal design of three-planetary-gear power-split hybrid powertrains
Weichao Zhuang, Xiaowu Zhang, Ding Zhao +2
Many of today's power-split hybrid electric vehicles (HEVs) utilize planetary gears (PGs) to connect the powertrain elements together. Recent power-split HEVs tend to use two PGs a…
Gap Acceptance During Lane Changes by Large-Truck Drivers-An Image-Based Analysis
Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc +3
This paper presents an analysis of rearward gap acceptance characteristics of drivers of large trucks in highway lane change scenarios. The range between the vehicles was inferred…
Analysis of mandatory and discretionary lane change behaviors for heavy trucks
Ding Zhao, Huei Peng, Kazutoshi Nobukawa +3
The behaviors of heavy vehicles drivers in mandatory and discretionary lane changes are analyzed in this paper. 640 mandatory and 2,035 discretionary lane change events were extrac…
Analysis of Unprotected Intersection Left-Turn Conflicts based on Naturalistic Driving Data
Xinpeng Wang, Ding Zhao, Huei Peng +1
Analyzing and reconstructing driving scenarios is crucial for testing and evaluating automated vehicles. This research analyzed left turn / straight-driving conflicts at unprotecte…
Improving Localization Accuracy in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters: Theory, Simulations, and Experiments
Macheng Shen, Ding Zhao, Jing Sun +1
A crucial function for automated vehicle technologies is accurate localization. Lane-level accuracy is not readily available from low-cost Global Navigation Satellite System (GNSS)…
Evaluation of Automated Vehicles in the Frontal Cut-in Scenario - an Enhanced Approach using Piecewise Mixture Models
Zhiyuan Huang, Ding Zhao, Henry Lam +2
Evaluation and testing are critical for the development of Automated Vehicles (AVs). Currently, companies test AVs on public roads, which is very time-consuming and inefficient. We…