104 citations · 154 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach
Zuxin Liu, Mansur Arief, Ding Zhao
Autonomous vehicle manufacturers recognize that LiDAR provides accurate 3D views and precise distance measures under highly uncertain driving conditions. Its practical implementati…
An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles
Rui Chen, Mansur Arief, Ding Zhao
Proving ground, or on-track testing has been an essential part of testing and validation process for connected and autonomous vehicles (CAV). Several world-class CAV proving ground…
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories
Wenshuo Wang, Aditya Ramesh, Ding Zhao
Multi-vehicle interaction behavior classification and analysis offer in-depth knowledge to make an efficient decision for autonomous vehicles. This paper aims to cluster a wide ran…
An Optimal LiDAR Configuration Approach for Self-Driving Cars
Shenyu Mou, Yan Chang, Wenshuo Wang +1
LiDARs plays an important role in self-driving cars and its configuration such as the location placement for each LiDAR can influence object detection performance. This paper aims…
An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets
Mansur Arief, Peter Glynn, Ding Zhao
Various automobile and mobility companies, for instance Ford, Uber and Waymo, are currently testing their pre-produced autonomous vehicle (AV) fleets on the public roads. However,…