Accessibility navigation


Planning autonomous vehicles in the absence of speed lanes using an elastic strip

Kala, R. and Warwick, K. (2013) Planning autonomous vehicles in the absence of speed lanes using an elastic strip. IEEE Transactions on Intelligent Transportation Systems, PP (99). pp. 1-10. ISSN 1524-9050

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1109/TITS.2013.2266355

Abstract/Summary

Planning of autonomous vehicles in the absence of speed lanes is a less-researched problem. However, it is an important step toward extending the possibility of autonomous vehicles to countries where speed lanes are not followed. The advantages of having nonlane-oriented traffic include larger traffic bandwidth and more overtaking, which are features that are highlighted when vehicles vary in terms of speed and size. In the most general case, the road would be filled with a complex grid of static obstacles and vehicles of varying speeds. The optimal travel plan consists of a set of maneuvers that enables a vehicle to avoid obstacles and to overtake vehicles in an optimal manner and, in turn, enable other vehicles to overtake. The desired characteristics of this planning scenario include near completeness and near optimality in real time with an unstructured environment, with vehicles essentially displaying a high degree of cooperation and enabling every possible(safe) overtaking procedure to be completed as soon as possible. Challenges addressed in this paper include a (fast) method for initial path generation using an elastic strip, (re-)defining the notion of completeness specific to the problem, and inducing the notion of cooperation in the elastic strip. Using this approach, vehicular behaviors of overtaking, cooperation, vehicle following,obstacle avoidance, etc., are demonstrated.

Item Type:Article
Refereed:Yes
Divisions:Science
ID Code:33372
Uncontrolled Keywords:Cooperative systems, intelligent vehicles, motion analysis, multirobot systems.

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation