Evaluation of Novel Safety Concepts for Automotive Perception in Real-World Environments

被引：0

作者：

Stelzer, Philipp ^{[1
]}

Strasser, Andreas ^{[1
]}

Steinbaeck, Josef ^{[1
]}

Steger, Christian ^{[1
]}

Schratter, Markus ^{[2
]}

Druml, Norbert ^{[3
]}

机构：

[1] Graz Univ Technol, Graz, Austria

[2] Virtual Vehicle Res Ctr, Graz, Austria

[3] Infineon Technol Austria AG, Graz, Austria

来源：

PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MECHATRONICS, ROBOTICS AND SYSTEMS ENGINEERING (MORSE) | 2021年

关键词：

Safety; Fail-Operational Concepts; Automotive; Reliability;

D O I：

10.1109/MORSE50327.2021.9766013

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Safety is one of the most important topics regarding Automated-Driving in the Automotive Domain. In the last years, LiDAR, Radar and Vision Cameras became the most relevant Environmental Perception Sensors for enabling safe and robust Automated-Driving. All of these systems offers specific strengths and weaknesses in specific situations such as bright sunlight or heavy rain. Therefore, these systems requires specific Fail-Operational concepts to allow robust and safe driving in urban and rural environments. In this publication, we are depicting Real-World evaluation of Safety Concepts and Fail-Operational functionality of a Sensor Fusion Platform that offers Radar, 3D Flash LiDAR and Vision Cameras. We verified our platform in specific driving situations such as driving from an urban parking environment into bright sunlight with the dynamic adaption of the confidence range that depicts reliable data.

引用

页码：1 / 6

页数：6

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