fDate :
March 30 2009-April 2 2009
Abstract :
The following topics are dealt with: self-learning sensor fusion system; object classification; memory efficient predictions; diesel engines; driver pose estimation; 3D time-of-flight sensor; driver´s style classification; jerk analysis; recurrent neural network training; mild hybrid electric vehicle; multi-sensor coverage analysis; aspect-dependent targets; vehicle stability control; robust lane detection; assembly ergonomics filters; injury risk operations; 3D lidar processing; FPGA implementation; automotive speech recognition; sound base control; autonomous helicopter; probabilistic alert procedure; mobile machine damage detection and prognostic health monitoring technique.
Keywords :
diesel engines; driver information systems; field programmable gate arrays; helicopters; hybrid electric vehicles; object detection; optical radar; pose estimation; probability; recurrent neural nets; sensor fusion; speech recognition; stability; 3D lidar processing; 3D time-of-flight sensor; FPGA implementation; aspect-dependent targets; assembly ergonomics filters; automotive speech recognition; autonomous helicopter; diesel engines; driver pose estimation; driver style classification; injury risk operations; jerk analysis; memory efficient predictions; mild hybrid electric vehicle; mobile machine damage detection; multisensor coverage analysis; object classification; probabilistic alert procedure; prognostic health monitoring technique; recurrent neural network training; robust lane detection; self-learning sensor fusion system; sound base control; vehicle stability control;
Conference_Titel :
Computational Intelligence in Vehicles and Vehicular Systems, 2009. CIVVS '09. IEEE Workshop on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2770-3
DOI :
10.1109/CIVVS.2009.4938712
