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Cost Effective Automotive Platform for ADAS and Autonomous Development
Technical Paper
2018-01-0588
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
This paper presents a cost effective development platform, named FEV-Driver, for Advanced Driver Assistance Systems (ADAS) and autonomous driving (AD). The FEV-Driver platform is an electric go-kart that was converted into an x-by-wire vehicle which represents the behavior of a full-scale electric vehicle. FEV-Driver has the advantage of being a small-scale vehicle that can be used with a significant lower safety risk compared to full-sized vehicles. The ADAS/AD algorithms for this platform were developed in both Simulink and C++ software and implemented within the Robot Operating System (ROS) middleware. Besides the description of the platform, Lane Keep Assist (LKA) and Automatic Emergency Braking (AEB) algorithms are discussed, followed by a path planning algorithm which enables the vehicle to drive autonomously after a manually controlled training lap. The modular system architecture allows for complete controller exchange or adaptation to different vehicles. The adaptation and implementation of the platform into a full-scale passenger vehicle is described in the last section of this paper. The presented platform has proven to be a low-cost scalable platform for development and verification of ADAS and AD functions.
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Alzu'bi, H., Dwyer, B., Nagaraj, S., Pischinger, M. et al., "Cost Effective Automotive Platform for ADAS and Autonomous Development," SAE Technical Paper 2018-01-0588, 2018, https://doi.org/10.4271/2018-01-0588.Also In
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