Challenges in aggregation of heterogeneous sensors for Autonomous Driving Systems

被引：0

作者：

Giacalone, Jean-Pierre ^{[1
]}

Bourgeois, Luc ^{[2
]}

Ancora, Andrea ^{[3
]}

机构：

[1] Renault SW Labs, Grp Renault, ADAS AD Sofware Architecture Autonomous Vehicle A, Sophia Antipolis, France

[2] Renault SA, ADAS AD Syst, Guyancourt, France

[3] Renault SW Labs, Grp Renault, Autonmous Vehicle Algorithms, Sophia Antipolis, France

来源：

2019 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS) | 2019年

关键词：

Autonomous Drive; multiple sensors; architecture;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper is highlighting the complexity associated with sensors aggregation in an autonomous driving system regarding aspects of sensing technologies, space coverage around ego vehicle, detection issues and software architecture. Building Advanced Driving Assistance systems (ADAS) and autonomous driving functions of Level 3 ([1]) and above mandates that these sources of complexity are properly addressed by novel approaches in dealing with sensors raw data and produced features. The paper tries to depict a structured view of the sources of complexity related to the driving scene that must be apprehended, then goes through situational examples for each theme and pitches key directions for improvement.

引用

页数：5

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