Paper Info
Title
Rapidly Adapting Machine Vision for Automated Vehicle Steering
Abstract
Ralph (Rapidly Adapting Lateral Position Handler) is a vision system developed jointly by Carnegie Mellon University and AssistWare Technology Inc. Ralph decomposes vehicle steering into three steps: sampling the image, determining the road curvature, and assessing the lateral offset of the vehicle relative to the lane center. Ralph combines the outputs of the latter two steps into a steering command, which it can send to the steering motor on the Navlab 5 testbed vehicle for autonomous steering control. As a road-departure warning system, Ralph can also compare this command with the human driver's steering direction.
Year
DOI
Venue
1996
10.1109/64.491277
IEEE Expert
Keywords
Field
DocType
steering motor,road-departure warning system,assistware technology inc. ralph,carnegie mellon university,steering direction,autonomous steering control,vision system,decomposes vehicle steering,rapidly adapting machine vision,testbed vehicle,steering command,automated vehicle steering,ergonomics,adaptive control,suicide prevention,injury prevention,artificial neural networks,occupational safety,adaptive signal processing,adaptive systems,expert systems,machine vision,remotely operated vehicles,human factors,machine learning,testing,computer vision,layout
Remotely operated underwater vehicle,Data mining,Machine vision,Computer science,Artificial intelligence,Artificial neural network,Computer vision,Simulation,Adaptive system,Expert system,Sampling (statistics),Adaptive control,Offset (computer science)
Journal
Volume
Issue
ISSN
11
2
0885-9000
Citations 
PageRank 
References 
100
24.35
0
Authors
2
Name
Order
Citations
PageRank
Dean Pomerleau11039283.23
Todd Jochem220342.49