Paper Info
Title
Performance evaluation of autonomous vehicle navigation in dynamic, on-road environments
Abstract
We are developing a novel framework, PRIDE (PRediction In Dynamic Environments), to perform moving object prediction (MOP) to assist unmanned ground vehicles in performing path planning within dynamic environments. In addition to predicting the location of moving objects in the environment, we have extended PRIDE to generate simulated traffic during on-road driving. In this paper, we explore applying the PRIDE-based traffic control algorithms for the performance evaluation of autonomous vehicles. Through the use of repeatable and realistic traffic simulation, one is able to evaluate the performance of an autonomous vehicle in an on-road driving scenario without the risk involved with introducing the vehicle into a potentially dangerous roadway situation. In addition, by varying a single vehicle's parameters (such as aggressivity), we can show how the entire traffic pattern is affected. We will describe the successes that have been achieved to date in a simulated environment, as well as enhancements that are currently being researched and expected in the near future.
Year
Venue
Keywords
2005
Integrated Computer-Aided Engineering
pride-based traffic control algorithm,simulated traffic,entire traffic pattern,realistic traffic simulation,autonomous vehicle,single vehicle,on-road driving,on-road environment,performance evaluation,dynamic environment,on-road driving scenario,unmanned ground vehicle,autonomous vehicle navigation
Field
DocType
Volume
Motion planning,Control algorithm,Airfield traffic pattern,Computer science,Simulation,Traffic simulation,Ground vehicles
Journal
12
Issue
ISSN
Citations 
3
1069-2509
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Craig Schlenoff121934.06
Jerome Ajot2516.75
Raj Madhavan323727.91