NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
STRIPE: Remote Driving Using Limited Image DataDriving a vehicle, either directly or remotely, is an inherently visual task. When heavy fog limits visibility, we reduce our car's speed to a slow crawl, even along very familiar roads. In teleoperation systems, an operator's view is limited to images provided by one or more cameras mounted on the remote vehicle. Traditional methods of vehicle teleoperation require that a real time stream of images is transmitted from the vehicle camera to the operator control station, and the operator steers the vehicle accordingly. For this type of teleoperation, the transmission link between the vehicle and operator workstation must be very high bandwidth (because of the high volume of images required) and very low latency (because delayed images can cause operators to steer incorrectly). In many situations, such a high-bandwidth, low-latency communication link is unavailable or even technically impossible to provide. Supervised TeleRobotics using Incremental Polyhedral Earth geometry, or STRIPE, is a teleoperation system for a robot vehicle that allows a human operator to accurately control the remote vehicle across very low bandwidth communication links, and communication links with large delays. In STRIPE, a single image from a camera mounted on the vehicle is transmitted to the operator workstation. The operator uses a mouse to pick a series of 'waypoints' in the image that define a path that the vehicle should follow. These 2D waypoints are then transmitted back to the vehicle, where they are used to compute the appropriate steering commands while the next image is being transmitted. STRIPE requires no advance knowledge of the terrain to be traversed, and can be used by novice operators with only minimal training. STRIPE is a unique combination of computer and human control. The computer must determine the 3D world path designated by the 2D waypoints and then accurately control the vehicle over rugged terrain. The human issues involve accurate path selection, and the prevention of disorientation, a common problem across all types of teleoperation systems. STRIPE is the only semi-autonomous teleoperation system that can accurately follow paths designated in monocular images on varying terrain. The thesis describes the STRIPE algorithm for tracking points using the incremental geometry model, insight into the design and redesign of the interface, an analysis of the effects of potential errors, details of the user studies, and hints on how to improve both the algorithm and interface for future designs.
Document ID
19970028179
Acquisition Source
Headquarters
Document Type
Thesis/Dissertation
Authors
Kay, Jennifer S.
(Carnegie-Mellon Univ. Pittsburgh, PA United States)
Date Acquired
August 17, 2013
Publication Date
January 1, 1997
Subject Category
Cybernetics
Report/Patent Number
CMU-CS-97-100
NASA-CR-203555
AD-A327036
NAS 1.26:203555
Accession Number
97N27013
Funding Number(s)
CONTRACT_GRANT: DAAE07-90-C-R059
CONTRACT_GRANT: DACA76-89-C-0014
CONTRACT_GRANT: NGT-51292
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
REMOTE CONTROL
IMAGE PROCESSING
Document Inquiry

Available Downloads

There are no available downloads for this record.
No Preview Available