Browsing Department of Mechanical and Aerospace Engineering by Subject "Lidar"
Now showing items 1-1 of 1
-
OBJECT CLASSICATION, DETECTION AND STATE ESTIMATION USING YOLO V3 DEEP NEURAL NETWORK AND SENSOR FUSION OF STEREO CAMERA AND LIDAR
(2021-06-10)Real-time object classification, localization, and detection with region-based convolution neural network (R-CNN) require high computational power, or it consumes a tremendous amount of time with the use of the available ...