Jaguar Land Rover (JLR) has developed new intelligent software to reduce motion sickness in its autonomous vehicles.
The pioneering software adjusts acceleration, braking and lane positioning to avoid inducing nausea – a leading cause of motion sickness.
This effort is part of JLR’s journey to ensure zero accidents and zero congestion.
During the first phase of the project, JLR’s engineers developed a personalised ‘wellness score’ which could reduce the impact of motion sickness by up to 60%.
Experts at the British automaker’s specialist software engineering facility in Shannon have now implemented that score into self-driving software.
According to JLR, the intelligent software combines 20,000 real-world and virtually-simulated test miles to calculate a set of parameters for driving dynamics to be rated against.
Advanced machine learning then ensures the car can optimize its driving style based on data gathered from every mile driven by the autonomous fleet.
The technology will be used to teach each Jaguar and Land Rover vehicle how to drive autonomously, while maintaining the individual characteristics of each model, whether that’s the thoroughbred performance of a Jaguar or the legendary capability of a Land Rover.
Motion sickness, which affects more than 70% of the world’s population, is often caused when the eyes observe information different from that sensed by the inner ear, skin or body – commonly when reading on long journeys in a vehicle.
Using the new system, acceleration, braking and lane positioning – all contributory factors to motion sickness – can be optimised to avoid inducing nausea in passengers.
The success of this project should enable JLR’s engineers to develop more refined advanced driver-assistance systems (ADAS) features on future Jaguar and Land Rover models, such as adaptive cruise control and lane monitoring systems.
Image and content: Jaguar Land Rover