Dr Valentina Donzella, Royal Academy of Engineering Industrial Fellowship

Smart Compression of Automotive Environmental Perception Sensors Data and Implications on Perception

Automated vehicles are on the verge of changing our lives, and foremost they can dramatically reduce the number of car accidents and the associated human and economic losses.

To master driving, automated vehicles need to:

Know where they are
Sense the surrounding environment (road-users, pavements, signs, etc.)
Make swift decisions and plan trajectory
Move on the roads in a safe way.

Sensing the environment requires the vehicles to deploy several different sensors, and each sensor will collect a large quantity of data. Furthermore, data must be moved promptly to the decision units, and the larger the data quantity the more difficult and costly it is to transmit it.

WMG Intelligent Vehicles research group: Facilities.

WMG Intelligent Vehicles research group: Autonomous vehicle test platform.

Dr Valentina Donzella's Fellowship aims to investigate the amount of data needed to represent the key information, and therefore to be transmitted; data reduction or pre-processing might enable the fast decision-making process needed for safe motion of automated vehicles

This project will strengthen the collaboration between WMG and a key automotive sensor company, ON Semiconductor, enhancing WMG’s ethos of producing research outputs readily applicable in industry.