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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Performance Analysis of Vehicle-Specific Methods and Sensors for Autonomous Vehicles
verfasst von : Ernst Pucher, Andreas Gruber, Mathias Innerkofler, Marco Buhmann
Erschienen in: Proceedings of the International Symposium for Production Research 2018
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Abstract
This article deals with the performance of modern sensor systems for autonomous vehicles. The examined automobile was equipped with state-of-the-art sensor technology and provides a solid basis for the further close-to-production development of the increasing requirements for environmental recognition. With regard to Industry 4.0, too, parallels can be deduced, since progressive networking between cars and infrastructure is assumed by the fact that the IoT (Internet of Things) is being expanded in both areas.
The following publication evaluates the performance of vehicle-specific methods and sensors in modern vehicle assistance systems under real driving conditions. In addition, a high-resolution vehicle dynamics measurement was performed on a partially automated test vehicle. The test results show that for good weather conditions and good road infrastructure, there is no discernible difference in driving behavior between manual and partly autonomous operation. Finally, a route model was created based on simulations using MATLAB SIMULINK. The deviation of the simulated from the measured lateral acceleration is discussed.