ISBN: 9786208430429 - object detection for driving assistance in autonomous defence vehicle (11 risultati)

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Object Detection for Driving Assistance in Autonomous Defence Vehicle | Kaushal Jani | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208430429 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 148 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Autonomous vehicles are robotic systems capable of unmanned navigation in unknown environments. Recent advancements have enhanced applications in both civilian and military domains, improving driver-assistance systems and unmanned military drones. From a Computer Science perspective, autonomous vehicles drive progress in machine learning, computer vision, sensor fusion, and intelligent decision-making. This research explores perception technologies in autonomous driving, including speed selection, object detection, and terrain-based navigation. The system operates without manual engineering or supervised learning, enabling self-training. Accurate perception is critical, as rough terrain detection at high speeds demands greater precision than obstacle avoidance. Additionally, the identification of stationary and moving objects enhances adaptive cruise control, pedestrian detection, and parking assistance, improving both safety and efficiency in autonomous vehicle systems.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Autonomous vehicles are robotic systems capable of unmanned navigation in unknown environments. Recent advancements have enhanced applications in both civilian and military domains, improving driver-assistance systems and unmanned military drones. From a Computer Science perspective, autonomous vehicles drive progress in machine learning, computer vision, sensor fusion, and intelligent decision-making. This research explores perception technologies in autonomous driving, including speed selection, object detection, and terrain-based navigation. The system operates without manual engineering or supervised learning, enabling self-training. Accurate perception is critical, as rough terrain detection at high speeds demands greater precision than obstacle avoidance. Additionally, the identification of stationary and moving objects enhances adaptive cruise control, pedestrian detection, and parking assistance, improving both safety and efficiency in autonomous vehicle systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch.…