Principal component analysis neural network based probabilistic tracking of unpaved road

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3173, Issue , 2004, Pages 792-797

  Li, Qing ^a,b   Zheng, Nannig ^a   Ma, Lin ^a   Cheng, Hong ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b AIR FORCE ENGINEERING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

MONTE CARLO METHODS; ROADS AND STREETS; TRANSPORTATION;

AUTONOMOUS NAVIGATION; COLOR SPACE TRANSFORM; MONTE CARLO TRACKING; PARTICLE FILTER; PROBABILISTIC FRAMEWORK; PROBABILISTIC TRACKING; ROAD CONDITION; SPATIAL FEATURES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 35048878244     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28647-9_130     Document Type: Article

References (5)

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5. Ferez, P., Hue, C., Vermaak, J., Gangnet, M.: Color-Based Probabilistic Tracking. In: Heyden A. (eds.): ECCV. Lecture Notes in Computer Science, Vol. 2350. Springer-Verlag, Berlin Heidelberg New York (2002) 661-675