Skip to main content
eScholarship
Open Access Publications from the University of California

Cooperative Multiple-Sensor Fusion for Automated Vehicle Control

Abstract

The number and quality of sensors available for both on-board vehicle and infrastructure-based sensing is increasing while the cost of these sensors is rapidly decreasing. On-board vehicle sensors can be utilized for both individual vehicle safety as well as automated vehicle control. It is becoming imperative that "fusion" techniques be developed, i.e., methods to combine the wide variety of sensors available so that reliable and accurate information can be obtained even though individual sensors may fail or become extremely noisy. The process of sensor fusion combines multiple sensor measurements in order to provide an accurate and coherent view of the vehicle and its environment.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View