The programme is based on software that uses biometric sensors to detect how vulnerable to motion sickness individual passengers and drivers are.The system can then use this data to optimise factors such as acceleration, braking and lane positioning and adjust the autonomous vehicle accordingly. The software was fine-tuned over 20 000 real-world and virtually simulated test miles. Motion sickness could become a big issue with autonomous vehicles as occupants are expected to take advantage of travelling hands-free by activities such as reading or watching screens.
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