Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

10-2003

Abstract

The Navlab group at Carnegie Mellon University has a long history of development of automated vehicles and intelligent systems for driver assistance. The earlier work of the group concentrated on road following, cross-country driving, and obstacle detection. The new focus is on short-range sensing, to look all around the vehicle for safe driving. The current system uses video sensing, laser rangefinders, a novel light-stripe rangefinder, software to process each sensor individually, and a map-based fusion system. The complete system has been demonstrated on the Navlab 11 vehicle for monitoring the environment of a vehicle driving through a cluttered urban environment, detecting and tracking fixed objects, moving objects, pedestrians, curbs, and roads.

Keywords

Range Sensor, Obstacle Detection, Pedestrian Detection, Cluttered Environment, Unmanned Ground Vehicle

Discipline

Artificial Intelligence and Robotics

Research Areas

Data Science and Engineering; Intelligent Systems and Optimization

Publication

Proceedings of the Eleventh International Symposium Robotics Research, Siena, Italy, 2003 October 19-22

Volume

15

First Page

271

Last Page

280

ISBN

3540232141

Identifier

10.1007/11008941_29

Publisher

Springer

City or Country

Cham

Additional URL

https://doi.org/10.1007/11008941_29

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