Phillippe Krief, CEO of Alpine Cars joins Guido Bairati, MD of VI-grade, to discuss the challenges Alpine faces in its transition phase to EVs. Krief emphasises the importance of simulation-based development, and anticipates advancements in simulation technology, particularly in AI, to explore more configurations and optimise vehicle development further
Browsing: Simulation
The road car division of Alpine, the French sports car manufacturer, is integrating two cutting-edge VI-grade simulators into its development processes
Automotive simulation software company, rFpro, has joined the ASAM standardisation organisation, and expects to collaborate with 30 industry partners, including BMW and Volvo, on the upcoming ASAM OpenMaterial standard
Automotive test systems supplier, AB Dynamics, has acquired Venshure Test Services (VTS), a provider of dynamometer-based testing services to the automotive sector in the USA that is focused on the development and deployment of EVs
VI-grade, an automotive simulation supplier, has announced a partnership with Powersoft, a specialist in audio technology and amplification. The companies are collaborating to integrate haptic transducers into dynamic simulators
A new agreement will see Dynisma supply a driving simulator for use in McLaren’s dynamics, aerodynamics, NVH, HMI, propulsion systems and control systems development
Companies are coming together to accelerate virtual development. The event will boast top-tier keynote speeches and technical presentations by the likes of Bugatti Rimac, EDAG Group, Honda R&D, and Mercedes AMG
Hitech Grand Prix has invested in simulation technology for race car setup, race preparation and circuit familiarisation ahead of the 2024 season. The team shares how the F1-bred low-latency, high-bandwidth simulator technology is helping its Formula 2 campaign, and its prospective entry into Formula 1
The submissions window for the award, which recognises the automotive industry’s finest innovations in sustainable, lightweight design, is now open
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