Unsettled Topics in Automated Vehicle Data Sharing for Verification and Validation Purposes - Couverture souple

Khalkhali, Mohsen; Khalighi, Yaser

Couverture souple

ISBN 10 : 1468601679 ISBN 13 : 9781468601671

Editeur : Sae Edge Research Report, 2020

Synopsis

Unsettled Topics in Automated Vehicle Data Sharing for Verification and Validation Purposesdiscusses the unsettled issue of sharing the terabytes of driving data generated by Automated Vehicles (AVs) on a daily basis. Perception engineers use these large datasets to analyze and model the automated driving systems (ADS) that will eventually be integrated into future "self-driving" vehicles. However, the current industry practices of collecting data by driving on public roads to understand real-world scenarios is not practical and will be unlikely to lead to safe deployment of this technology anytime soon. Estimates show that it could take 400 years for a fleet of 100 AVs to drive enough miles to prove that they are as safe as human drivers.

Yet, data-sharing can be developed - as a technology, culture, and business - and allow for rapid generation and testing of the billions of possible scenarios that are needed to prove practicality and safety of an ADS - resulting in lower research and development costs to the industry.

Unsettled Topics in Automated Vehicle Data Sharing for Verification and Validation Purposes explores how this could lead to better regulation, insurance, public acceptance - and finally, shorter technology development cycles. Finding a business case and changing to an open data culture are not going to be easy tasks, but data sharing is the only way forward for the whole industry to move to the next phase of deployment after nearly a decade of intense research.

Détails de l'édition

• Éditeur: Sae Edge Research Report
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 1468601679
• ISBN 13: 9781468601671
• Reliure: Broché
• Nombre de pages: 22
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible