Robust terrain classification by introducing environmental sensors

8th IEEE International Workshop on Safety, Security, and Rescue Robotics, SSRR-2010

Volumn , Issue , 2010, Pages

  Kim, T Y ^a   Sung, G Y ^b   Lyou, J ^a  

^a Chungnam National University   (South Korea)

^b Agency for Defence Development   (South Korea)

Author keywords

environmental sensors; neural network; robustness; terrain classification; UGV(unmanned ground vehicle); wavelet features

Indexed keywords

CLASSIFICATION PERFORMANCE; DISTRIBUTED PARALLEL PROCESSING; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL SENSOR; ENVIRONMENTAL STATE; ENVIRONMENTAL VARIATIONS; HARDWARE ARCHITECTURE; IMAGE FEATURES; ROBUST CLASSIFICATION; TERRAIN CLASSIFICATION; TRAINING PARAMETERS; UNMANNED GROUND VEHICLES; VISION BASED; WAVELET FEATURES; WEATHER CHANGE;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS; NEURAL NETWORKS; REAL TIME CONTROL; ROADS AND STREETS; ROBOTICS; SENSORS; UNMANNED VEHICLES;

LANDFORMS;

EID: 80052559367     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSRR.2010.5981562     Document Type: Conference Paper

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