Entries by cygnus

BBC’s Law in Action experience

11th April, 2018 /31,277 Comments/in /by

Cranfield University’s Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI) provided the location for part of a recent Law in Action recording focused on the legal implications of connected and autonomous vehicles (CAV) on UK roads.   Neil Fulton, Connected and Autonomous Transport Programme Director from the Transport Systems Catapult, was interviewed about the HumanDrive project, which is using the Cranfield MUEAVI autonomous vehicle test site to put the HumanDrive vehicles through their paces by simulating a number of scenarios and monitoring the cars’ reactions.   MUEAVI is a new £9 million open research facility, comprising a mile of ‘shared surface’ fully functioning roadway and pedestrian access through the centre of the campus, to support the development of autonomous transport vehicles and related systems.   Listen to the broadcast here: http://www.bbc.co.uk/programmes/b09v3fdt

HumanDrive Case Study

29th March, 2018 /17,375 Comments/in /by

Successful completion of this project will take the UK one step closer to autonomous vehicles on the road, helping the UK government to fulfil its ambition of seeing fully driverless cars on the road by 2021. Find out more about the benefits this project will bring. HumanDrive Project – 2pg flier

Autonomous Car Project seeks to emulate natural human driving in UK driving environment.

29th March, 2018 /19,331 Comments/in /by

A 30-month Autonomous Vehicle project led by Nissan’s European Technical Centre, as a part of Renault-Nissan Alliance research activities, will culminate in the most complex journey yet attempted across the UK without driver input. The ‘HumanDrive’ project vehicle will be expected to deal with a variety of UK unique driving scenarios, including country roads, high speed roundabouts, A-Roads, Motorways in live traffic and different environmental conditions. Additionally, the vehicle will emulate a natural human driving style, providing an enhanced experience for the occupants.   To achieve this, the project will draw upon the expertise of a variety of organisations, including the tech giant Hitachi and Transport Systems Catapult, who oversaw the first UK test of a driverless vehicle in a public space in 2016. Other partners include Cranfield University, University of Leeds, HORIBA MIRA, Atkins, Aimsun Ltd, SBD Automotive and Highways England.   The HumanDrive project will seek to take autonomous technology to the next level in terms of ride comfort and adaptability, covering a number of different UK road scenes with natural road positioning.   Greg Clark, Business and Energy Secretary, said:  “Low carbon and self-driving vehicles are the future and they are going to drive forward a global revolution in mobility. This revolution has the potential to be worth £52bn to our economy by 2035 and the opportunity to be at the forefront of this change is one we cannot afford to miss.    “Through our Industrial Strategy and the Automotive Sector Deal investment in the development of driverless technology we are committed to working with industry to seize these opportunities. Trailblazing projects like the HumanDrive project will play a vital role helping us deliver on that ambition, with UK businesses and research institutions working with partners from around the world on the disruptive technologies and services of the future.”   The artificial driver model (controlling perception and decision making) will pilot the vehicle, and will be developed using the latest artificial intelligence technologies. Before being introduced to UK roads, the system will be developed and subjected to robust testing using a range of facilities, including simulation, hardware in the loop, private test track and small sections of public roads.   Mark Westwood, Transport Systems Catapult Chief Technology Officer, said:  “This pioneering project will considerably enhance the experience of drivers who use future autonomous vehicles. We’ve only just scratched the surface in terms of the capability of machine […]