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Development Status and Challenges of Unmanned Vehicle Driving Technology

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1117))

Abstract

Nowadays, artificial intelligence instead of the human race driving is no longer just a dream, but gradually becomes a reality. Internet of Things and smart technologies are gradually being used in vehicles, so cars can have their own ideas. Driverless cars are one of the typical representatives. Driverless cars, that is, unmanned cars on the road, mainly through the sensor system installed on the vehicle, intelligent software and various environmental sensing devices, to sense the state and environment of the vehicle itself and its surrounding environment. At the same time, according to the software set the motion track to reach the destination. Compared to traditional cars, unmanned vehicles have the characteristics of high safety, high reliability and intelligence, which are the main development directions of future cars. This paper will introduce the unmanned car driving technology from three aspects: application value, domestic and international development status and main challenges.

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Correspondence to Mengqiao Wang .

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Wang, Z., Wang, M. (2020). Development Status and Challenges of Unmanned Vehicle Driving Technology. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_11

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