Abstract

AbstractThe chapter describes the introduction of vehicle localization and navigation, related work done in-vehicle localization and navigation, and message passing in the Internet of things based on cloud vehicles. Furthermore, the chapter also covers vehicle navigation and localization, road detection and tracking in autonomous vehicles, and integrated Global Positioning System-enabled vehicles. This chapter also describes multiple sensors-based multiple object tracking, vehicle navigation and tracking on the Internet of things-based cloud vehicles, issues and challenges in-vehicle localization and navigation. Accurate and reliable location is significant for self-driving cars and other systems that help people drive: navigation and global place for intersection driving with a low-cost autonomous car with low-cost sensors in cities. To get a better idea of where the vehicle is, look at where it is about the lane and stop signs. First, the car learns where it is on the digital map and where the next lane and stop line are in the next intersection with the help of a Global Positioning System and odometer. A system that drives the car to its destination on its own, and researchers talked about it. Also, it does is use information from inertial sensors to make things move faster. A self-driving car can see where it is going by using radio detection and ranging, light detection and ranging, Global Positioning System, and computer vision, as well as other things. This system has a rotatable laser range finder that can see any obstacles.KeywordsDead reckoning (DR)Global Positioning System (GPS)Inertial Navigation Systems (INS)Radio detection and ranging (RADAR)Autonomous vehicle (AUV)Light Detection and Ranging (LIDAR)

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