Autonomous Driving Research with CARLA Simulator

Author:

Berlincioni Lorenzo1

Affiliation:

1. University of Florence - MICC

Abstract

The autonomous driving industry, in order to advance through its six levels of automation (as defined by SAE, Society of Automotive Engineers [2]), is going to be increasingly more data-driven. While the number of sensors and their technology has been increasing it is still both cost-effective and, in some cases, necessary to use a simulator, considering that deploying even a single autonomous car could necessitate large funding and manpower in addition to being a liability in terms of safety.

Publisher

Association for Computing Machinery (ACM)

Subject

General Medicine

Reference5 articles.

1. Road Layout Understanding by Generative Adversarial Inpainting

2. "J3016B : Taxonomy and Definitions for terms related to driving automation systems for on-road motor vehicles," SAE International. https://www.sae.org/standards/content/j3016_201806/ (accessed Dec. 20, 2021 ). "J3016B: Taxonomy and Definitions for terms related to driving automation systems for on-road motor vehicles," SAE International. https://www.sae.org/standards/content/j3016_201806/ (accessed Dec. 20, 2021).

3. End-to-End Driving Via Conditional Imitation Learning

4. M. L. for A. Driving, "Workshop on Machine Learning for Autonomous Driving." https://ml4ad.github.io/ (accessed Dec. 20, 2021 ) M. L. for A. Driving, "Workshop on Machine Learning for Autonomous Driving." https://ml4ad.github.io/ (accessed Dec. 20, 2021)

5. Alexey Dosovitskiy , German Ros , Felipe Codevilla , Antonio Lopez , and Vladlen Koltun . Carla: An open urban driving simulator. https://arxiv.org/abs/1711.03938 In Conference on Robot Learning , pages 1 -- 16 , 2017 . Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun. Carla: An open urban driving simulator. https://arxiv.org/abs/1711.03938 In Conference on Robot Learning, pages 1--16, 2017.

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