Visual Computing for Autonomous Driving

被引：0
|
作者：
Chen, Siming [1 ]
Gou, Liang [2 ]
Kamp, Michael [3 ]
Sun, Dong [4 ]
机构：
[1] Fudan Univ, Sch Data Sci, Shanghai 200433, Peoples R China
[2] Splunk, AI, San Francisco, CA 94107 USA
[3] Ruhr Univ Bochum, Inst Artificial Intelligence Med IKIM, D-44801 Bochum, Germany
[4] Carizon Inc, Shanghai 201306, Peoples R China
来源：
IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2024年 / 44卷 / 03期
关键词：
D O I：
10.1109/MCG.2024.3397581
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Autonomous driving (AD) technology has experienced unprecedented growth in recent years, propelled by advancements in artificial intelligence. The transition from theoretical concepts to tangible implementations of self-driving cars holds immense promise in revolutionizing transportation, with the potential to significantly reduce traffic accidents and associated costs. However, despite this rapid progress, the field still grapples with underutilization of the vast datasets generated by autonomous vehicles, particularly in the realm of visualization and visual analytics, or in a broader sense, visual computing.
引用
收藏
页码：11 / 13
页数：3
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