Holland, R; Burgess, A; Molloy, J; Wright, L; Mansfield, T; Moorcroft, P; Clemente, C; Barham, R; Peters, A; Brar, L; Jones, D (2020) Performance testing for sensors in connected and autonomous vehicles: feasibility studies. Appendices. Other.

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Abstract

Connected and Autonomous Vehicles (CAVs) and vehicles with advanced driver assistance systems (ADAS) rely upon perception sensors to determine their physical environment and the behaviours of other road users around them. This document forms the appendices to a study undertaken by the Connected Places Catapult (CPC) and National Physical Laboratory (NPL) and commissioned by the Centre for Connected and Autonomous Vehicles (CCAV) to investigate the requirements, infrastructure and facilities needed to enable reliable CAV sensor testing and validation, which can also support a safety evaluation and assurance programme

Item Type:	Report/Guide (Other)
Keywords:	Sensors, Characterisation, Uncertainty, Radar, LiDAR, Ultrasound, Cameras , Driverless cars, CAV, Connected and Autonomous Vehicles, Simulation, Sensor models
Subjects:	Electromagnetics > Electrical Measurement Electromagnetics > RF and Microwave Electromagnetics > Terahertz Mathematics and Scientific Computing > Measurement Uncertainties
Divisions:	Electromagnetic & Electrochemical Technologies
Last Modified:	23 Sep 2020 13:10
URI:	http://eprintspublications.npl.co.uk/id/eprint/8848

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