AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving

• URL: http://arxiv.org/abs/2202.01645v1
• Date: Thu, 3 Feb 2022 15:41:43 GMT
• Title: AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving
• Authors: Valerio De Caro, Saira Bano, Achilles Machumilane, Alberto Gotta, Pietro Cassar\'a, Antonio Carta, Christos Sardianos, Christos Chronis, Iraklis Varlamis, Konstantinos Tserpes, Vincenzo Lomonaco, Claudio Gallicchio and Davide Bacciu
• Abstract summary: This paper presents a proof-of-concept implementation of the AI-as-a-service toolkit developed within the H2020 TEACHING project. It implements an autonomous driving personalization system according to the output of an automatic driver's stress recognition algorithm.
• Score: 13.575818872875637
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper presents a proof-of-concept implementation of the AI-as-a-service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving personalization system according to the output of an automatic driver's stress recognition algorithm, both of them realizing a Cyber-Physical System of Systems. In addition, we implemented a data-gathering subsystem to collect data from different sensors, i.e., wearables and cameras, to automatize stress recognition. The system was attached for testing to a driving emulation software, CARLA, which allows testing the approach's feasibility with minimum cost and without putting at risk drivers and passengers. At the core of the relative subsystems, different learning algorithms were implemented using Deep Neural Networks, Recurrent Neural Networks, and Reinforcement Learning.

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