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An Overview of the Latest Progress and Core Challenge of Autonomous Vehicle Technologies

Zongwei Liu, Hao Jiang, Hong Tan, Fuquan Zhao

2020MATEC Web of Conferences26 citationsDOIOpen Access PDF

Abstract

The mass production of autonomous vehicle is coming, thanks to the rapid progress of autonomous driving technology, especially the recent breakthroughs in LiDAR sensors, GPUs, and deep learning. Many automotive and IT companies represented by Waymo and GM are constantly promoting their advanced autonomous vehicles to hit public roads as early as possible. This paper systematically reviews the latest development and future trend of the autonomous vehicle technologies, discusses the extensive application of AI in ICV, and identifies the key problems and core challenges facing the commercialization of autonomous vehicle. Based on the review, it forecasts the prospects and conditions of autonomous vehicle’s mass production and points out the arduous, long-term and systematic nature of its development.

Topics & Concepts

CommercializationAutomotive industryKey (lock)Core (optical fiber)Computer scienceProduction (economics)Systems engineeringEngineeringBusinessTelecommunicationsAerospace engineeringComputer securityMarketingMacroeconomicsEconomicsAutonomous Vehicle Technology and SafetyRobotic Path Planning AlgorithmsRobotics and Sensor-Based Localization
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