Autonomous Intelligent Vehicles | Cheng Hong | Twarda

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ENbook.pl

Marka

Springer Nature

pAutonomous intelligent vehicles pose unique challenges in robotics, that encompass issues of environment perception and modeling, localization and map building, path planning and decision-making, and motion control.ppThis important textreference presents state-of-the-art research on intelligent vehicles, covering not only topics of objectobstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research.ppTopics and features presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features discusses an approach for multiple sensor-based multiple-object

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