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20162022
most citedAccelerated Evaluation of Automated Vehicles Safety in Lane Change Scenarios Based on Importance Sampling Techniques

457 citations · 845 across the 36 of their papers we have counts for

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Showing 2017Show all

9 papers · 1 filter

eess.SY2017★ 1 cited

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…

eess.SY2017★ 42 cited

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…

eess.SY2017★ 30 cited

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…

eess.SY2017★ 15 cited

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…

cs.HC2017★ 31 cited

From the Lab to the Street: Solving the Challenge of Accelerating Automated Vehicle Testing

Ding Zhao, Huei Peng

As automated vehicles and their technology become more advanced and technically sophisticated, evaluation procedures that can measure the safety and reliability of these new driver…

eess.SY2017★ 1 cited

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…

math.OC2017★ 53 cited

Speed trajectory planning at signalized intersections using sequential convex optimization

Xianan Huang, Huei Peng

An algorithm is developed to optimize vehicle speed trajectory over multiple signalized intersections with known traffic signal information to minimize fuel consumption and travel…

cs.MA2017★ 7 cited

Evaluation of Automated Vehicles Encountering Pedestrians at Unsignalized Crossings

Baiming Chen, Ding Zhao, Huei Peng

Interactions between vehicles and pedestrians have always been a major problem in traffic safety. Experienced human drivers are able to analyze the environment and choose driving s…

eess.SY2017★ 6 cited

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)…