RT info:eu-repo/semantics/conferenceObject
T1 Road Sign Analysis Using Multisensory Data
A1 López Sastre, Roberto Javier
A1 Lafuente Arroyo, Sergio
A1 Gil Jiménez, Pedro
A1 Siegmann, Philip
A1 Maldonado Bascón, Saturnino
K1 Traffic sign
K1 Road
K1 Computer
K1 Vision
K1 Geometry
K1 Object
K1 Recognition
K1 Road signs detection
K1 Road signs parameters
K1 Ciencias tecnológicas
K1 Telecomunicaciones
K1 Technology
K1 Telecommunication
AB This paper deals with the problem of estimating the following road sign parameters: height, dimensions, visibility distance and partial occlusions. This work belongs to a framework whose main applications involve road sign maintenance, driver assistance, and inventory systems. From this paper we suggest a multisensory system composed from two cameras, a GPS receiver, and a distance measurement device,all of them installed in a car. The process consists of several steps which include road sign detection, recognition and tracking , and road signs parameters estimation. From some trigonometric properties, and a camera model, the information provided by the tracking subsystem and the distance measurement sensors, we estimate the road signs parameters.Results show that the described calculation methodology offers a correctestimation for all types of traffic signs.
PB Springer-Verlag
YR 2007
FD 2007-06-18
LK http://hdl.handle.net/10017/1271
UL http://hdl.handle.net/10017/1271
LA eng
DS MINDS@UW
RD 29-may-2023