Autonomous driving is one of the major areas of interest for the automotive industry. This constantly evolving field requires the involvement of a wide range of engineers with complementary skills. The education of these engineers is a key issue for the further development of the field. Currently in the engineering curriculums, there is a lack of related platforms that can assist the engineers to train in and further develop the required dexterities. The current practice is using either small robotic devices or full scale prototypes in order to understand and experiment in autonomous driving principals. Each approach has disadvantages ranging from the lack of re- alistic conditions to the cost of the platforms and sensors being used. TUCerous is a low cost and open source modular platform, consisting from off-the-shelf components, which can be used for experimentation and research in the area of autonomous cars and driving. The functionality of the suggested system is verified by extensive experimentation in - very close to - real traffic conditions proving reliability, robustness and easy adaptability in diverse test cases.
- N. Sarantinoudis, P. Spanoudakis, L. Doitsidis, T. Stefanoulis, and N. Tsourveloudis, Enhancing the educational process related to autonomous driving, in 10th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, 2018 IEEE/RSJ International conference on Intelligent Robots and Systems, Madrid, October 2018 pdf
- N. Sarantinoudis, Autonomous Navigation of an Electric Vehicle, Diploma thesis, School of Electrical and Computer Engineering, Technical University of Crete, Greece, 2018 pdf