MOVE_UK - News - MOVE

London Motor Show

19/5/2018

MOVE_UK have presented at UK's leading motor show, The London Motor Show. This feature show is a showcase of all things automotive ranging from electric taxis to the latest 'hypercars'. The London Motor Show however would not be complete without a view on the latest automotive technology and this year incorporated not just the latest road vehicles but also looked beyond what is available now towards next generation and autonomous road vehicles. This was highlighted at the show by the MOVE_UK stand which highlighted to the attendees, dignitaries and general public the MOVE_UK development test vehicles.

This stand helped to explain to a wide audience how MOVE_UK vehicles are helping to build novel means to advance, verify and validate next generation automotive technologies.

Amongst the attendees the stand was visited by HRH Prince Michael who has a keen personal interest in advancements in automotive safety. A range of Photos from the event are included below.

An Insider's View

18/4/2018

In picturesque Greenwich, South-East London, cars of the future are being tested in plain sight - yet the public has little idea that they are facilitating the evolution of how we get around our towns and cities.

Since August 2016, the MOVE_UK project has studied Automated Driving Systems (ADS) in real-life conditions, with the aim of accelerating the development, production and deployment of driverless systems through connected validation and big data analysis.

“The current testing of ADS is creating huge amounts of data, which is becoming increasingly time-consuming and costly to analyse,” says Bosch’s Simon Morley, Lead Project Manager for MOVE_UK. “We are now trialling a new method of validation, which will significantly speed up the process.”

According to Simon, the problem with the current method is the huge volume of information picked up by car sensors, which is set to grow as automated driving systems develop.

“In the future, the amount of data generated by ADS systems will be greater than 8GBs a second – that equates to streaming over two Netflix films per second.”

“Analysing all this data takes a lot of capacity and most of the time the car is just driving normally, so the data is of little interest for ADS validation purposes,” he says.

The new method focuses on intelligent recording, based on specific events that are useful for the validation and development of ADS, such as abrupt braking. Such events do not happen very often, so the amount of data collected using this method is vastly reduced and, as a result, can be transmitted to a cloud server for storage and analysis almost immediately.

Headed by Bosch, the three-year MOVE_UK project is a joint effort
with TRL, Jaguar Land Rover, telematics experts The Floow,
insurance provider Direct Line and the Royal Borough of
Greenwich, with part funding provided by the UK government.

To gather the data, five Land Rover Discovery Sport vehicles are used by council workers of the Royal Borough of Greenwich in their everyday working activities. For the purpose of the study, the ADS fitted to the vehicles are deactivated and run silently in the background, with the council workers operating the car as they would any normal vehicle.

“This allows us to analyse the responses of the ADS and see how well they mirror actual driver behaviour in different real-life situations. For example, if the ADS performs an emergency brake but the driver did not, this might mean that emergency braking was not required at all,” Simon explains. The project has been a great success so far, having proved in a little over a year that the new method of validation works well. Pleased with the results, Simon praises the cooperation between the various members of the consortium.

“It is not often that you get such a diverse group of companies working together, but Automated Driving is set to have such a wide effect outside the car manufacturing space.”

“Councils, for example, will need to plan how their infrastructure is going to cope with driverless cars and insurers will have to figure out how they are going to insure them,” he says.

Out of the fleet of five vehicles, only one carries the MOVE_UK logo, the rest look like any other Land Rovers. By using production vehicles that don’t stand out, the trial can ensure that other drivers’ reactions are not affected by the look of the vehicles.

“You see projects featuring self-driving pods that have all sorts of sensors sticking out of them, looking very fancy. But what is more useful: pods that will someday be of limited use or production vehicles already fitted with sensors with high levels of automation? In fact, we are already taking steps at Bosch to implement this method into the development of our production systems.”

“The project is really making a difference to the way ADS are tested and developed in the future.”

“The greatest success of all is to see that this new method, and the “real world” data we are collecting, will be used to develop systems that will go into our cars in the next few years,”
Simon concludes.

Autonomous Car Detroit & Connected Car Detroit

16/3/2018

Sam Chapman from MOVE_UK partner The Floow Limited was selected by InnovateUK and UK's Centre for Connected and Autonomous Vehicles to attend a research and trade delegation to Detroit. This Global Business Accelerator CAV group of individuals represented the leading growth firms in the connected and autonomous car sector who visited key autonomous research and industry in the motor city Detroit.

The one week mission included several site visits to leading research centres for autonomous cars and included attendance at two high visibility conferences alongside global leaders in automotive and related sectors. Key events where the project MOVE_UK was discussed included:

Autonomous Car Detroit 2018
Connected Car Detroit 2018
M-City site visit and briefing
American Centre for Mobility, Willow Run
UMTRI (University of Michigan Transportation Research Institute)
Meeting with various Michigan 'new mobility' firms

MOVE_UK are proud to be part of this mission helping to highlight UK's strengths in autonomous mobility.

Data Analysis Report Phase 1

29/1/2018

MOVE_UK is happy to release Data Analysis Report Phase 1. This document details the data analysis work carried out during phase 1 of the MOVE_UK project, including the data collection and analysis methodology, tools used, and phase 1 use cases. More details on this report can be found on the publication page or link above.

MOVE_UK demonstrates the possibility of live speed limit maps

12/1/2018

MOVE_UK is making thousands of traffic speed sign detections a month as our fleet of five Jaguar Land Rover Discovery Sports are driven in the Royal Borough of Greenwich by Council staff.

So far, 43803 detections have been made between 2 January 2017 and 12 January 2018. That is an average of 3650 detections per month. 30 mph traffic signs are being detected on average 1590 times a month, which is nearly twice as much as 20 mph traffic signs that have, on average, the second highest detection of 850 a month.

The onboard camera in our fleet of vehicles detects speed traffic signs, processes them and uploads the data to our cloud server. Using this data and the analytical tools we have created, we are able to visualise on an online map the different speed limits of roads in and around Greenwich and where exactly the corresponding signs are being detected.

In the future this system has the potential to produce dynamic maps based on the data gathered from connected vehicles. For example, by using current and historical data of a particular position in Greenwich we could create a dynamic speed limit map that would auto update whenever a sign changes, is removed or installed.

The top image shows detections made over a one-week period in April 2017. The bottom image shows detections made over a one-week period in May 2017, including numerous detections of a new 20mph sign

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London Motor Show

An Insider's View

Autonomous Car Detroit & Connected Car Detroit

Data Analysis Report Phase 1

MOVE_UK demonstrates the possibility of live speed limit maps

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