Jaguar Land Rover develops autonomous vehicles capable of moving onscreen on all terrain under all weather conditions.
For the first time in the world, the CORTEX project will bring off-road cars off-road, ensuring that they are fully capable of moving under all weather conditions: mud, rain, ice, snow or fog. As part of the project, a 5D technique has been developed that combines acoustic and video data, radar, light and distance (LiDAR) data in real time. Access to these combined data improves the familiarity of the environment in which the vehicle is located. Machine self-learning allows the stand-alone vehicle to behave more"cleverly", allowing it to cope with any weather conditions on any terrain.
Chris Holmes, Jaguar Land Rover Research and Related Car Research Manager, said :"It is important to develop our autonomous cars with the same patency and dynamism that customers expect from all Jaguar and Land Rover models. Autonomy is inevitable for the automotive industry and the desire to make sure that our autonomous models are the most capable, safest and most enjoyable is what motivates us to explore the boundaries of innovation. CORTEX gives us the opportunity to work with fantastic partners, whose expertise will help us realize this vision in the near future."
Jaguar Land Rover develops fully and semi-automated technology, offering customers a choice of automation levels while retaining pleasure and safety. This project forms part of the company's vision of making the stand-alone vehicle reliable in the widest possible range of real road and off-road driving conditions as well as weather conditions.
CORTEX will develop the technology by developing algorithms, sensing optimization and physical testing of off-road trains in the UK. The University of Birmingham, with its world-leading research into radar and sensor technologies for stand-alone platforms and Myrtle AI, engineer self-learning experts, joins the project. CORTEX was announced as part of Innovate UK's third round of financing related and autonomous vehicles