Key Ingredients of Self-Driving Cars
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Abstract (arXiv)
Over the past decade, many research articles have been published in the area of autonomous driving. However, most of them focus only on a specific technological area, such as visual environment perception, vehicle control, etc. Furthermore, due to fast advances in the self-driving car technology, such articles become obsolete very fast. In this paper, we give a brief but comprehensive overview on key ingredients of autonomous cars (ACs), including driving automation levels, AC sensors, AC software, open source datasets, industry leaders, AC applications and existing challenges.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jun 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1.
3 papers.
- 2021A Survey on Simulators for Testing Self-Driving Carscited by 26
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- 2023Pedestrian Trajectory Prediction in Pedestrian-Vehicle Mixed Environments: A Systematic Review11 Aug 2023
- 2022Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor8 Mar 2022
- 2021A Survey on Simulators for Testing Self-Driving Cars13 Jan 2021