Driver Monitoring Simulation Tool Targets Euro NCAP 2026 Tests
ATN Editorial TeamrFpro extends its sensor simulation platform to the vehicle interior with AV elevate IN CABIN, targeting driver and occupant monitoring development.
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What Is A DIL Simulator? A Driver-in-the-Loop Engineer’s Guide
Driver-in-the-Loop (DIL) simulators explained: how they close the simulation loop around a real human driver in real time, the hardware and software stack, and the…
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Hakone Turnpike Digital Twin Adopted By Major Japanese OEM
Simulation specialist rFpro has launched a 1mm-accurate digital twin of Japan's 15km Hakone Turnpike, already adopted by a major Japanese OEM for vehicle dynamics development.
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Ansible Motion Launches Delta T1 Sport Compact DIL Simulator
Ansible Motion has launched the Delta T1 Sport, a compact six-degrees-of-freedom Driver-in-the-Loop simulator built around an all-new patented Triform motion system, with Lola Cars taking…
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KTM Adopts rFpro To Develop Headlight Systems In Simulation
Vehicle manufacturer KTM is using rFpro’s simulation software to develop, test and evaluate headlight systems across its product range, enabling the company to assess complex…
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Sony Showcases Next-Generation Camera Technology Using AV elevate
Sony will showcase its next-generation camera sensor technologies for ADAS and AV applications using rFpro’s AV elevate simulation platform.
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Siemens and rFpro Launch New Tyre-Road Simulation Solution
rFpro and Siemens develop a new simulation capability that integrates Siemens’ Simcenter Tire software with rFpro’s TerrainServer.
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Testing AV Systems in Simulation
Josh Wreford, Product Manager for AV elevate, explores how simulation enables scalable, safe and cost-effective testing of AV systems.
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UK-Funded Project Accelerates In-Cabin Sensor Simulation For Driver Monitoring Systems
rFpro is playing a key role in Sim4CamSens2, a research project advancing the development of automotive sensor systems through simulation.
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How To Train Perception Systems
Josh Wreford, AV elevate Product Manager at rFpro, discusses how simulation can train machine learning algorithms for perception systems.
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