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Researchers at Coventry University in the UK have contributed their expertise as technical authors for a new guide to operating autonomous vehicles. The guide, titled ’BSI Flex 1887 – Human Factors for Remote Operation of Vehicles – Guide v1.0’ has been developed with the aim of establishing good practices for the remote monitoring, assistance and operation of self-driving vehicles
Dürr and Rohde & Schwarz have co-developed a solution for over-the-air (OTA) vehicle-in-the-loop (VIL) testing of the interaction and functionality of sensors. This solution validates conformity and effectiveness during end-of-line (EOL) testing or periodical technical inspection (PTI)
Headline features in the May issue include the application of artificial intelligence and machine learning in vehicle dynamics, an interview with Porsche’s Lars Kern, a hands-on experience with the Lamborghini Huracán Sterrato, the latest development tools, and more
MdynamiX, a provider of ADAS, vehicle dynamics, NVH methods and test benches, has entered into a reseller partnership with VI-grade, a provider of human-centric simulation technologies
Porsche AG has signed a collaboration agreement with ClearMotion, a software-defined chassis company, to work together on proactive chassis systems, which they say represent the future of vehicle dynamics
Technical highlights of the new 665PS Vantage include Active Vehicle Dynamics, Bilstein DTX adaptive dampers, a rear E-diff and 50:50 weight distribution. All wrapped in beautiful, retro bodywork
NIRA Dynamics has announced that it has now sold 100 million units of its software-based Tire Pressure Indicator (TPI), claimed to have saved an estimated 40,000 tons of electronic waste
REE Automotive has begun customer deliveries of its P7-C electric chassis cab following FMVSS and EPA certifications, making it the first fully x-by-wire vehicle to achieve these approvals.
Researchers at Ritsumeikan University in Kyoto, Japan, have developed a network they say combines 3D LiDAR and 2D image data to enable more robust detection of small objects. The DPPFA−Net network is designed to overcome challenges related to occlusion and noise
