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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Book 2023 in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations o

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Graph Separators, with Applicationshe current state-of-the-art research, datasets, evaluation metrics, and industrial applications. In the end, we outline several existing challenges and present our own conclusions regarding BEV perception.

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,3D Object Detection in?Autonomous Driving,ate-of-the-art techniques and categorize them into camera-based, LiDAR-based, RADAR-based and multi-sensor fusion methods. For each method, we point out the main problems and their existing solutions. By analyzing the limitations of existing methods, we propose promising directions and open problems for future research.

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Environmental Perception Using Fish-Eye Cameras for Autonomous Driving,es a large field of view (FoV). Because of this special feature, the fish-eye camera has abundant applications in environmental perception and autonomous driving. However, many challenges still exist in the practical application of fish-eye cameras. In this chapter, typical fish-eye datasets, includ

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Semantic Segmentation for Autonomous Driving,s belonging to the same category using artificial intelligence. This is an important step from image processing to image analysis and has numerous applications in areas such as automatic driving, image enhancement, and 3D map reconstruction. With the emergence of deep learning, several sophisticated

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