The company’s AV elevate enables closed-loop perception testing and the creation of synthetic training data through the tuning of sensor systems, training of perception and control algorithms, and testing of the full AV technology stack, reducing the industry’s reliance on real-world testing and data collection.
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Presented in association with the Center for Automotive Research earlier this week, the award honors the greatest sustainability and lightweighting advancements that successfully reduce carbon footprint, mitigate water and energy consumption, and leverage material reuse and recycling efforts.
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For the winning entry showcased at the Computer Vision and Pattern Recognition conference running this week in Seattle, Nvidia used its Hydra-MDP to ingest vehicle trajectory history and camera and lidar data at a reduced frame rate and generate the optimal vehicle path as an output in a simplified end-to-end architecture said to optimize pipelines with less code and better performance.
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Co-developed with the BMW Group, the cloud-native, end-to-end Ansys AVxcelerate Autonomy solution revealed at CES 2024 is said to be capable of reducing development cost and validation timelines by 100,000 times by simulating the majority of driving scenarios for Level 2+ and above compliance.
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The UK-based motion simulator technology company has opened a new campus near Bristol, England, for simulator design, development, and manufacturing for OEMs and motorsport teams.
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The collaboration of Kontrol, dSPACE, FEV.io, TÜV SÜD, Microsoft Germany, T-Systems, and Berylls announced at the IAA Mobility event in Munich is developing a new digital solution for the approval of updates for software-defined vehicles.
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Model-based system engineering and simulation can help anticipate the battery behavior from molecular interaction to vehicle insertion, writes Nicolas Vallin, Battery Consultant & Solution Portfolio Manager – Transportation & Mobility Industry, for Dassault Systèmes.
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Automotive engineers are using the company’s AI software solution to build self-learning models of complex vehicle systems and cut product development time and cost by up to 50%.
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The agency selected the company to receive $4.5 million for advanced testing of its autonomous battery-electric rail vehicles, which the CEO discussed exclusively with Futurride last month as an alternative to on-road trucking, reducing greenhouse gas emissions and highway congestion.
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With the Phase 3 prototype revealed, the collaboration of Triumph Motorcycles, Williams Advanced Engineering, Integral Powertrain, and WMG to create ground-breaking UK developments in electric motorcycle engineering and innovative integrated technology design now moves on to testing.
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