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Ur-Rehman, Obaid and Zivic, Natasa. "3 Machine Learning". Security in Autonomous Driving, Berlin, Boston: De Gruyter Oldenbourg, 2020, pp. 61-86. https://doi.org/10.1515/9783110629613-003
Ur-Rehman, O. & Zivic, N. (2020). 3 Machine Learning. In Security in Autonomous Driving (pp. 61-86). Berlin, Boston: De Gruyter Oldenbourg. https://doi.org/10.1515/9783110629613-003
Ur-Rehman, O. and Zivic, N. 2020. 3 Machine Learning. Security in Autonomous Driving. Berlin, Boston: De Gruyter Oldenbourg, pp. 61-86. https://doi.org/10.1515/9783110629613-003
Ur-Rehman, Obaid and Zivic, Natasa. "3 Machine Learning" In Security in Autonomous Driving, 61-86. Berlin, Boston: De Gruyter Oldenbourg, 2020. https://doi.org/10.1515/9783110629613-003
Ur-Rehman O, Zivic N. 3 Machine Learning. In: Security in Autonomous Driving. Berlin, Boston: De Gruyter Oldenbourg; 2020. p.61-86. https://doi.org/10.1515/9783110629613-003
Autonomous driving is an emerging field. Vehicles are equipped with different systems such as radar, lidar, GPS etc. that enable the vehicle to make decisions and navigate without user's input, but there are still concerns regarding safety and security. This book analyses the security needs and solutions which are beneficial to autonomous driving.