Titlebook: Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications; Aboul Ella Hassanien,Deepak Gupta,Adam Slowik B

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Studies in Systems, Decision and Controlhttp://image.papertrans.cn/v/image/983403.jpg

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Book 2022ses. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications. 

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Automotive Collision Avoidance System: A Review,are not very robust due to detecting the wide range of vehicle shapes, crowded environments, different lighting situations, and driving behavior. Accidents are becoming increasingly common and unpredictable. Accidents result in the most severe damage, severe injury, and even death. The majority of t

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Motion Planning and Manoeuvring in Self Driving Cars,ng are notable applications in autonomous cars. It expands the use of street foundation assets through composed control and platooning of individual vehicles with the capability of improving both traffic wellbeing and productivity. In this study, end-to-end lane keeping and path planning are explore

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Autonomous Vehicle Assisted by Heads up Display (HUD) with Augmented Reality Based on Machine Learns low. For the autonomous vehicle, machine learning-based AR-HUD (augmented reality based Head-up display) is used. In this paper the machine learning-based AR-HUD has been used for autonomous vehicles. The process of object detection and collected HUD data classification has been done by the propos