Towards a fully-autonomous vision-based vehicle navigation system in outdoor environments

11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010

Volumn , Issue , 2010, Pages 597-602

  Moghadam, Peyman ^a   Wijesoma, Wijerupage Sardha ^a   Moratuwage, M D P ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NONE

Author keywords

Near to far learning; Stereo vision; Terrain classification

Indexed keywords

3D PERCEPTION; FAR-FIELD; FIELD OF VIEWS; GROUND TRUTH; LEARNING STRATEGY; LEARNING TECHNIQUES; NEAR-FIELD; NEAR-TO-FAR LEARNING; OUTDOOR ENVIRONMENT; PERCEPTION SYSTEMS; PROCESSING ALGORITHMS; REAL DATA SETS; SUPERVISED LEARNING METHODS; TERRAIN CLASSIFICATION; TEXTURE INFORMATION; TRAINING DATA; TRAVERSABILITY; UNKNOWN ENVIRONMENTS; UNMANNED GROUND VEHICLES; VEHICLE NAVIGATION SYSTEM; VISION BASED; VISION INFORMATION; VISION TECHNOLOGY;

COMPUTER VISION; GROUND VEHICLES; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; LANDFORMS; NAVIGATION SYSTEMS; ROBOTICS; UNMANNED VEHICLES;

STEREO VISION;

EID: 79952414413     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2010.5707247     Document Type: Conference Paper

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