Titlebook: Autonomous Driving Perception; Fundamentals and App Rui Fan,Sicen Guo,Mohammud Junaid Bocus Book 2023 The Editor(s) (if applicable) and The

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2191-6586 amples to help reinforce your learning. Don‘t miss out on this essential guide to computer vision and deep learning for autonomous driving.978-981-99-4289-3978-981-99-4287-9Series ISSN 2191-6586 Series E-ISSN 2191-6594

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Semantic Segmentation for Autonomous Driving,e summary of evaluation metrics used to assess semantic segmentation results, along with corresponding benchmarks for a number of classic datasets, is also presented. Finally, practical applications of semantic segmentation in autonomous driving are explored, and conclusions are drawn on the current

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Multi-task Perception for Autonomous Driving,d effective pretrain-adapt-finetune paradigm for multi-task learning and a novel adapter named LV-Adapter which reuses powerful knowledge from the Contrastive Language-Image Pre-training (CLIP) model pre-trained on image-text pairs. We further present an effective multi-task framework for autonomous

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Road Environment Perception for Safe and Comfortable Driving,tems, envisioning the integration of both vision and motion sensors. We believe that this survey will act as a helpful guide for advancing road defect detection technology, providing strategic advice and practical guidance to those involved in developing such systems.

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Rui Fan,Sicen Guo,Mohammud Junaid BocusDiscover the ultimate guide that takes you through the most recent breakthroughs in computer vision.This comprehensive book goes beyond the basics, immersing you in the world of machine vision and int

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Advances in Computer Vision and Pattern Recognitionhttp://image.papertrans.cn/b/image/166773.jpg

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