Author:
Ernst Dieter Dickmanns
Affiliation:
University of the Bundeswehr and Department of Aero-Space Technology (LRT), Germany
Keyword(s):
Vision Systems (Automotive), Autonomous Driving of Road Vehicles.
Related
Ontology
Subjects/Areas/Topics:
Active and Robot Vision
;
Applications
;
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Early and Biologically-Inspired Vision
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Mobile Imaging
;
Motion, Tracking and Stereo Vision
;
Multimodal and Multi-Sensor Models of Image Formation
;
Pattern Recognition
;
Robotics
;
Software Engineering
;
Tracking and Visual Navigation
;
Video Stabilization
Abstract:
With the capability of autonomous driving for road vehicles coming closer to market introduction a critical
consideration is given to the design parameters of the vision systems actually investigated. They are chosen
for relatively simple applications on smooth surfaces. In the paper, this is contrasted with more demanding
tasks human drivers will expect to be handled by autonomous systems in the longer run. Visual ranges of
more than 200 m and simultaneous fields of view of at least 100º seem to be minimal requirements; potential
viewing angles of more than 200º are desirable at road crossings and at traffic circles. Like in human vision,
regions of high resolution may be kept small if corresponding gaze control is available. Highly dynamic active
gaze control would also allow suppression of angular perturbations during braking or driving on rough ground.
A 'Bifocal active road vehicle Eye' (BarvEye) is discussed as an efficient compromise for achieving these
capabilities. For appro
aching human levels of performance, larger knowledge bases on separate levels for a)
image features, b) objects / subjects, and c) situations in application domains have to be developed in
connection with the capability of learning on all levels.
(More)