Pre-Deployment Testing of Low Speed, Urban Road Autonomous Driving in a Simulated Environment
Xinchen Li, Aravind Chandradoss Arul Doss, Bilin Aksun Guvenc, and, Levent Guvenc (Automated Driving Lab, Ohio State University)

TL;DR
This paper advocates for comprehensive pre-deployment testing of low-speed autonomous shuttles in simulated environments, emphasizing safety and standardization over real-world testing during initial deployment phases.
Contribution
It introduces a three-dimensional virtual modeling and simulation testing framework for autonomous shuttle deployment sites, enhancing safety and standardization before public road operation.
Findings
Virtual environment modeling of deployment sites
Simulation testing improves safety validation
Framework supports standardized AV testing procedures
Abstract
Low speed autonomous shuttles emulating SAE Level L4 automated driving using human driver assisted autonomy have been operating in geo-fenced areas in several cities in the US and the rest of the world. These autonomous vehicles (AV) are operated by small to mid-sized technology companies that do not have the resources of automotive OEMs for carrying out exhaustive, comprehensive testing of their AV technology solutions before public road deployment. Due to the low speed of operation and hence not operating on roads containing highways, the base vehicles of these AV shuttles are not required to go through rigorous certification tests. The way the driver assisted AV technology is tested and allowed for public road deployment is continuously evolving but is not standardized and shows differences between the different states where these vehicles operate. Currently, AVs and AV shuttles…
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Taxonomy
TopicsAutonomous Vehicle Technology and Safety · Real-time simulation and control systems · Traffic control and management
