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Self-driving car tackles unmarked country lanes in UK’s ‘longest autonomous journey’

Professional Engineering

The Nissan Leaf used autonomous technology to navigate complex road features during its journey from Cranfield to Sunderland (Credit: Nissan/ HumanDrive)
The Nissan Leaf used autonomous technology to navigate complex road features during its journey from Cranfield to Sunderland (Credit: Nissan/ HumanDrive)

A Nissan Leaf with autonomous technology tackled complex situations far-removed from the simple grids and well-lit Californian streets frequently used for driverless car-testing, instead negotiating complex British road features in the UK’s ‘longest autonomous journey’.

The car negotiated country lanes with no road markings, junctions, roundabouts and motorways during the 370km drive from Cranfield in Bedfordshire to Sunderland on 28 November, as part of the HumanDrive project. Complex and unusual road situations are a big challenge to the widespread roll-out of driverless cars.

The vehicle used GPS, radar, Lidar and camera technologies to build up a perception of the world around it. The autonomous technology activated along the route to change lanes, merge, and stop and start when necessary.

“The HumanDrive project allowed us to develop an autonomous vehicle that can tackle challenges encountered on UK roads that are unique to this part of the world, such as complex roundabouts and high-speed country lanes with no road markings, white lines or kerbs,” said Bob Bateman project manager for Nissan Technical Centre.

Two engineers were onboard to monitor and take control if needed, and the trial was conducted with the knowledge and support of all relevant highway authorities.

Business minister Nadhim Zahawi called the project “a huge step towards the roll-out of driverless cars on UK streets.”

The UK-based consortium also investigated how autonomous driving can emulate a natural, human-like driving style, with tests of pilot vehicles on private test tracks.

HumanDrive is funded by the government, through the Centre for Connected and Autonomous Vehicles and Innovate UK, and nine other consortium partners. The project has £13.5m funding in total.


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