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CAPE Lecture by Prof. Patrick Langdon on CAPE project on AI with Jaguar Land Rover

last modified Oct 07, 2020 11:35 AM
CAPE Lecture on 12 October, 11:00: Prof. Patrick Langdon - 'Working with Jaguar Land Rover on AI project on Predictive touch'.
CAPE Lecture by Prof. Patrick Langdon on CAPE project on AI with Jaguar Land Rover

Predictive touch AI Lecture by Prof Pat Langdon

WORKING WITH JAGUAR LAND ROVER: A CAPE PARTNERSHIP PROJECT

ABSTRACT

Between 2013 and 2019, as a Principal Research Associate at The University of Cambridge Engineering Department, Pat Langdon initiated and ran through CAPE a series of industry funded projects with Jaguar Land Rover based on combining Human Factors Engineering with advanced Machine Learning and AI techniques to address the very latest human interface issues facing automotive manufacturers. In particular, MATSA addressed the use of touch screens in vibrating and severely perturbed environments.
This programme generated additional CAPE projects over some 8 years (one is still running), and a series of international publications and patents with colleagues from the Signal Processing department. Obtaining direct funding from industry is normally difficult and time consuming but with the advantages of the CAPE initiative a team was formed with colleagues at Cambridge and the first project: “MATSA” commenced only 2 months after pitching it to JLR R&D. The POC was established using AI and ML techniques within one year under JLR funding, and JLR worked with the MATSA team for a further 5 year’s of funding to raise the TRL level for inclusion in automotive development.
In the course of the project sufficient engineering innovation was made that the application areas extended outside of the automotive touch screen application. In particular, with colleagues from the University of Cambridge Signal processing department, techniques were developed for filtering and jump processing (published post-patent in IEEE Journals) that would permit the use of this technique in many other general applications. The antecedents; how this was achieved and managed, and other aspects of the relationship such as developing a working relationship with industry will be the subject of Professor Langdon’s talk and Q&A.

BIO

Patrick Langdon is a Professor of Engineering Design, Transportation, and Inclusion at Edinburgh NAPIER School of Engineering and the Built Environment (SEBE). He is the acting head of the ENU Transport Research Institute. He is an Experimental Psychologist and has worked in AI, Robotics and Engineering Design for over 20 Years. Historically he has led research in Inclusive Engineering Design and contributed to its literature. Until recently he was a Reader (PRA) in at the University Of Cambridge Engineering Department and led research there in Inclusive Design, Ergonomics and Human Factors. He was co-investigator and Cambridge lead for the joint EPSRC/Jaguar Land Rover funded programme, Towards Autonomy - Smart and Connected Control (TASCC), Designing Autonomy in Vehicles (HI:DAVe). He is a visiting Professor in Human Factors for Global Challenge at the University of East Anglia Computer Science Department 2019 – 2021. Between 2013 and 2019, Pat Langdon, whilst still at Cambridge, also initiated and ran a series of CAPE funded projects with Jaguar Land Rover based on combining Human Factors Engineering with advanced Machine Learning and AI techniques to address the very latest human interface issues facing automotive manufacturers.