Information Entropy Based Convolution Block Attention Module and Deep Learning with Application to Autonomous Driving Object Detection
Muqing Fang
Information Entropy Based Convolution Block Attention Module and Deep Learning with Application to Autonomous Driving Object Detection.
Rel. Luciano Lavagno. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2020
Abstract
In the autonomous driving detects obstacles solution, on-board cameras are used to identify vehicles, pedestrians, traffic cones, etc. Provide assistance for autonomous driving tasks.
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