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20172022
most citedFrom the Lab to the Street: Solving the Challenge of Accelerating Automated Vehicle Testing

31 citations · 98 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.RO20211 cited

Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations

Yuanxin Zhong, Huei Peng

A real-time semantic 3D occupancy mapping framework is proposed in this paper. The mapping framework is based on the Bayesian kernel inference strategy from the literature. Two nov…

cs.RO20212 cited

An Interaction-aware Evaluation Method for Highly Automated Vehicles

Xinpeng Wang, Songan Zhang, Kuan-Hui Lee +1

It is important to build a rigorous verification and validation (V&V) process to evaluate the safety of highly automated vehicles (HAVs) before their wide deployment on public road…

cs.RO20202 cited

Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning

Zhong Cao, Shaobing Xu, Songan Zhang +2

Safeguard functions such as those provided by advanced emergency braking (AEB) can provide another layer of safety for autonomous vehicles (AV). A smart safeguard function should a…

cs.RO2019

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field

Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief +4

Autonomous vehicles are expected to navigate in complex traffic scenarios with multiple surrounding vehicles. The correlations between road users vary over time, the degree of whic…

cs.RO2019

Impact of Traffic Lights on Trajectory Forecasting of Human-driven Vehicles Near Signalized Intersections

Geunseob Oh, Huei Peng

Forecasting trajectories of human-driven vehicles is a crucial problem in autonomous driving. Trajectory forecasting in the urban area is particularly hard due to complex interacti…