Key Ingredients of Self-Driving Cars
It offers a synthesized resource for researchers and practitioners in the field, but is incremental as it reviews existing knowledge.
The paper provides a comprehensive overview of key components in autonomous driving, including sensors, software, datasets, and challenges, without presenting new experimental results or numbers.
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.