Title :
Integrating radar and carrier phase GPS for classifying roadway obstacles
Author :
Langer, Dirk ; Kumar, Bala
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
This paper describes an integrated MMW radar and GPS/road-map system for autonomous on-road navigation. The radar sensor has a range of approximately 200 metres and uses a linear array of receivers and wavefront reconstruction techniques to compute range and bearing of objects within the field of view. It is integrated with a carrier phase GPS/road-map system to accurately detect and classify obstacles in the environment with respect to the driving lane of the vehicle
Keywords :
CW radar; FM radar; Global Positioning System; array signal processing; automobiles; object detection; pattern classification; radar applications; radar signal processing; 200 m; 77 GHz; FMCW radar; MM wave radar; MMW radar; autonomous on-road navigation; carrier phase GPS; integrated system; linear receiver array; millimetre wave radar; radar sensor; road-map system; roadway obstacle classification; wavefront reconstruction techniques; Geometry; Global Positioning System; Phase detection; Radar antennas; Radar detection; Roads; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Vehicle detection;
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
DOI :
10.1109/ITSC.1997.660582
