人工智能,深度神经网络,网联车辆,智能车辆
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Automotive Innovation ›› 2018, Vol. 1 ›› Issue (1): 2-14.doi: 10.1007/s42154-018-0009-9

• •    下一篇

车辆人工智能研究

  

  1. Jun Li1, Hong Cheng2, Hongliang Guo2, Shaobo Qiu1

    China FAW Corporation Limited R&D Center, Changchun, China Center for Robotics University of Electronic Science and Technology of China, Chengdu, China

  • 出版日期:2018-03-15 发布日期:2018-03-19

Survey on Artificial Intelligence for Vehicles

  1. Jun Li1, Hong Cheng2, Hongliang Guo2, Shaobo Qiu1

    China FAW Corporation Limited R&D Center, Changchun, China Center for Robotics University of Electronic Science and Technology of China, Chengdu, China

  • Online:2018-03-15 Published:2018-03-19

摘要:

With the ever-increasing demand in urban mobility and modern logistics sector, the vehicle population has been steadily growing over the past several decades. One natural consequence of the vehicle population growth is the increase in traffic congestion. Almost all (metropolitan) cities including the major ones, like Los Angeles, Beijing, New York, are suffering from heavy traffic congestion. Statistics show that, in 2015, 43 cities in China are suffering a prolonged travel time of more than 1.5 h every day during rush hours. In the meanwhile, traffic accidents are plaguing the economic development as well.

关键词: 人工智能')">

人工智能, 深度神经网络, 网联车辆, 智能车辆

Abstract:

With the ever-increasing demand in urban mobility and modern logistics sector, the vehicle population has been steadily growing over the past several decades. One natural consequence of the vehicle population growth is the increase in traffic congestion. Almost all (metropolitan) cities including the major ones, like Los Angeles, Beijing, New York, are suffering from heavy traffic congestion. Statistics show that, in 2015, 43 cities in China are suffering a prolonged travel time of more than 1.5 h every day during rush hours. In the meanwhile, traffic accidents are plaguing the economic development as well.


Key words: Artificial intelligence, Vehicle intelligence, Next-generation vehicles

Artificial intelligence, Vehicle intelligence, Next-generation vehicles
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