Title
Scalability In Urban Autonomy Through Overlapping Decompositions Of Hybrid-State Systems
Abstract
This study investigates the issue of scalability for autonomous vehicles and systems in urban environments. As the number of agents such as infrastructure elements and communication-capable vehicles increases, the systems that are designed to sense/track/control these agents get burdened under the increased number of tracks/measurements. By employing the concept of overlapping decompositions, it is possible to divide and parallelize the workload, with limited degradation of overall system performance. The paper demonstrates this methodology on simple urban scenarios, involving autonomy of infrastructure elements and autonomous vehicle interactions.
Year
DOI
Venue
2012
10.1109/ITSC.2012.6338784
2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
Keywords
Field
DocType
scalability,mathematical model,telerobotics,tracking systems,mobile robots,decision support systems,sensors,vectors,vehicle dynamics
Simulation,Workload,Decision support system,Autonomy,Tracking system,Vehicle dynamics,Engineering,Telerobotics,Mobile robot,Scalability
Conference
ISSN
Citations 
PageRank 
2153-0009
0
0.34
References 
Authors
6
2
Name
Order
Citations
PageRank
Arda Kurt194.55
Ümit Özgüner21014166.59