The University of Warwick is not just backing today’s CBI report ‘Greener Miles: Delivering on a net-zero vision for commuting’ – which calls on businesses to shoulder greater responsibility for ensuring their workers adopting greener travel habits – it has already taken action with a two year extensive programme to cut personal car use on campus and therefore reduce emissions.
World’s largest public scenario database for testing and assuring safe Autonomous Vehicle deployments
The Safety PoolTM Scenario Database, the largest public repository of scenarios for testing autonomous vehicles in the world, has been launched today by WMG at the University of Warwick, and Deepen AI.
All high-level AVs rely heavily on sensors, and in the paper, ‘Realistic LiDAR with Noise Model for Real-Tim Testing of Automated Vehicles in a Virtual Environment’, published in the IEEE Sensors Journal, researchers from the Intelligent Vehicles Group at WMG, University of Warwick have specifically simulated and evaluated the performance of LiDAR sensors in rain.
The Government released a call for evidence for the safe use of Automated Lane Keeping Systems (ALKS) in August this year ready for Spring 2021. ALKS would mean drivers could use a conditionally automated system that can take over control of the vehicle at low speeds, keeping it in lane on motorways. Dr Joseph Smyth, from the Intelligent Vehicles group at WMG, University of Warwick has been working with the Chartered Institute of Ergonomics and Human Factors (CIEHF), to create a response to the call for evidence in regards to the human side of using ALKS technology.
Visuospatial training exercises can train the brain to reduce motion sickness, providing a potential remedy for future passengers riding in autonomous vehicles. Researchers at WMG, University of Warwick reduced motion sickness by over 50% using the training tool and it was found to be effective in both a driving simulator and on-road experimentation.