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Learn more about our team's latest work in ADAS and Autonomous driving
2024
Challenges of Infrastructures for Autonomous Buses in Cities: A review
A. Becciu (1) , E. Kamau (2)
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Nuraxys GmbH, Overath
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TH Köln - Cologne University of Applied Sciences
Abstract
Autonomous shuttles are rapidly emerging as key technology to optimize urban vehicle traffic. Several cities worldwide are currently investigating this system of transport; however, there are still several open issues. This paper reviews the main critical challenges faced by municipalities in integrating autonomous shuttles into their infrastructure. It discusses routes, charging stations, communication nets, public perception and legal frameworks. In particular a proposal for the German regulations will be discussed.
Conference Automotive meets Electronics and Control (AmEC)
2023
Emulation of Autonomous Driving Functions of an L7e Vehicle using Real Sensor Data and a Real-time Target Machine
E. Kamau (1) , A. Becciu (2) , A. Stockem Novo (3)
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TH Köln - Cologne University of Applied Sciences
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Nuraxys GmbH, Overath
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University of Applied Sciences Ruhr West
Abstract
Advance of Autonomous driving functions pose new challenges for their application on different variety of vehicles, the increasing complexity of the vehicle architecture, higher expectation of safety, lower environmental impact and higher comfort. In order to perform a system test, alternative solutions to vehicle test are investigated with the goal to improve the cost efficiency and lower the environmental impact. In this work the development of a hardware in the loop (HiL) solution for emulating longitudinal and lateral control algorithms using real data acquired with cameras installed in a L7e vehicle is investigated. Such a vehicle is expected to play a major role in the future of the automotive industry for its comparatively low carbon emissions, however it presents challenges for sensor application as compared to passenger cars, due to the low availability of publicly available data that can be used to test and develop automated driving functions. First results presented in this work show the feasibility of emulating longitudinal vehicle dynamics using vision sensor data collected with a lightweight L7e vehicle.
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Conference Automotive meets Electronics (AmE)
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