Title
Integrating Perception And Planning For Autonomous Navigation Of Urban Vehicles
Abstract
The paper addresses the problem of autonomous navigation of a car-like robot evolving in an urban environment. Such an environment exhibits an heterogeneous geometry and is cluttered with moving obstacles. Furthermore, in this context, motion safety is a critical issue. The proposed approach to the problem lies in the coupling of two crucial robotic capabilities, namely perception and planning. The main contributions of this work are the development and integration of these modules into one single application, considering explicitly the constraints related to the environment and the system.
Year
DOI
Venue
2006
10.1109/IROS.2006.281806
2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12
Keywords
Field
DocType
planning,motion control,mobile robots,path planning,geometry,perception
Motion planning,Computer vision,Motion control,Computer science,Urban environment,Control engineering,Artificial intelligence,Robot,Perception,Mobile robot
Conference
Citations 
PageRank 
References 
8
0.79
18
Authors
4
Name
Order
Citations
PageRank
Rodrigo Benenson1175063.78
Stéphane Petti2382.94
Thierry Fraichard386670.04
Michel Parent4515.78