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IAA MOBILITY 2025: Vector shows end-to-end approach for SDVs
Vector demonstriert auf der IAA MOBILITY 2025 einen durchgängigen End-to-End-Ansatz für Software-defined Vehicles.
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Selected content of AEEmobility in English
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Cerence AI and SiMa.ai bring energy-efficient voice AI into the vehicle
Cerence AI and SiMa.ai integrate the CaLLM Edge voice model into the Modalix MLSoC platform, enabling energy-efficient, low-latency conversational AI functions directly in the vehicle – regardless of cloud connection and network quality.
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Valeo and Capgemini: Testing and validation of a new driver assistance system
Valeo and Capgemini jointly develop an integrated ADAS system up to level 2+.
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Lauterbach: TRACE32 now also for NVIDIA DRIVE AGX Thor platform
Lauterbach’s TRACE32 debug and trace tools are „SDV Ready“ and support the entire automotive software stack. NVIDIA DRIVE AGX Thor offers high performance for generative AI and deep learning and combines automated driving and AI cockpit in a single, software-defined platform.
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Qualcomm: Snapdragon Ride Pilot celebrates its premiere in the new BMW iX3
Qualcomm Technologies and the BMW Group have presented a new system for automated driving, the Snapdragon Ride Pilot, which is being used for the first time in the BMW iX3 „New Class“. It is based on the Snapdragon Ride platform with automotive system-on-chips and a jointly developed software architecture.
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Whitepaper: Virtual development of in-vehicle infotainment systems
Elektrobit’s white paper explains how virtualization, digital twins and cloud-based development environments enable fully digital, end-to-end development of in-vehicle infotainment (IVI) systems.
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dSPACE: Partnership model for logger manufacturers
The aim is to work with partners to provide a new generation of powerful, ready-to-use logging systems.
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Vector, QNX and TTTech Auto: Development of a basic platform for SDV
Vector and QNX are jointly developing the Foundational Vehicle Software Platform – a scalable and safety-certified basis for software-defined vehicles.
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Data automation toolchain for AI-based autonomous driving
Foretellix’s data automation toolchain provides the training, validation and safety assessment data required for the safe deployment of AI-powered autonomy.
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TU Munich: New AI chip calculates locally and independently of the cloud
The chip, called AI Pro, makes it possible to process data directly on the device – this significantly increases data security and saves energy at the same time.