Mercedes Benz ADAS level 3 Drive Pilot System

The Mercedes-Benz DRIVE PILOT is a groundbreaking achievement as the world’s first globally approved Level 3 automated driving system, offering drivers an unprecedented level of freedom to engage in activities such as reading or streaming while the vehicle seamlessly handles driving tasks. This innovative technology sets a new standard for mobility, with Mercedes-Benz leading the way in pushing the boundaries of what’s possible on the road, ushering in a new era of convenience and safety without being hindered by outdated concerns or regulatory hurdles.

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Setting up Industry Standard in AI Technology in ADAS

Nvidia’s AI technology has become a benchmark in the industry, spanning from cutting-edge driver assistance systems to major advances in perception. As vehicles transform into intelligent machines, Nvidia’s commitment to innovation drives progress, playing a key role in shaping the future of automotive AI. In 2024, Nvidia remains at the forefront, guiding the automotive sector towards a future where intelligence and mobility are fully integrated.
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The sixth generation of Aptiv’s ADAS platform

Aptiv is a frontrunner for the ADAS Advancement of the Year award due to its innovative Gen 6 Advanced Driving Assistance System platform, which leverages AI and machine learning to deliver a human-like driving experience across diverse weather and lighting conditions. With its scalable, modular architecture and real-time feature enhancement capabilities through over-the-air updates, Aptiv empowers OEMs to customize their ADAS offerings, significantly reducing costs and energy consumption while enhancing safety and convenience for drivers.

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Bosch unites infotainment and ADAS functions on one chip

Bosch is a strong contender for the ADAS Advancement of the Year award, as it leads the transition to software-defined mobility through its innovative Cockpit & ADAS Integration Platform, which combines infotainment and driver assistance functions into a centralized vehicle computer. This revolutionary approach reduces system complexity, enhances security, and facilitates the introduction of advanced automated driving features, allowing manufacturers to streamline production while significantly cutting costs and cabling requirements.

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Porsche Engineering Reinforcement Learning—PERL, using artificial intelligence (AI) to calibrate the control units and input data

Porsche Engineering is a prime candidate for the Automotive AI Integration of the Year award with its innovative PERL (Porsche Engineering Reinforcement Learning) virtual calibration software, which leverages deep reinforcement learning to enhance the calibration process for new vehicle functions. By significantly reducing the reliance on physical tests and manual data entry, PERL accelerates development efficiency, improves precision in control systems, and demonstrates the transformative potential of AI in automotive engineering.

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In-Car Interaction with AI Dialogue Partner Assistant

Mercedes-Benz is set to revolutionize in-car interaction with its new “dialogue partner” voice assistant, designed to engage in context-based conversations and provide intelligent suggestions, marking a significant advancement in automotive AI technology. This innovative assistant, capable of emotional tones and follow-up questions, enhances user experience by ensuring accurate and trustworthy information, thus elevating the driving experience in models like the all-electric CLA class.

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Advanced AI-Powered Voice Assistant NOMI GPT

Nio has successfully integrated automotive-grade GPT technology into its in-car assistant, NOMI, enhancing the voice control capabilities and allowing it to handle more complex queries. This groundbreaking update, rolled out via over-the-air updates, provides users with personalized interactions and operational support, establishing NOMI as a leader in in-vehicle AI systems.

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In-Car Experience with ChatGPT-Integrated Voice Assistant

Volkswagen has seamlessly integrated ChatGPT technology into its voice assistant system, enhancing user interactions and providing a more intuitive driving experience. With this rollout in most MY25 vehicles, drivers can now engage in natural conversations, receive real-time assistance, and manage vehicle functions with unprecedented ease, transforming the way users interact with their cars.

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BMW Transforms Vehicle Production with AIQX and Car2X Technologies

BMW is revolutionizing vehicle production through its innovative AI technologies, AIQX and Car2X, which enable real-time communication and autonomous problem-solving on the assembly line. These advancements enhance quality control, streamline assembly processes, and ensure greater efficiency, ultimately leading to improved safety and enjoyment for customers.

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Anyverse, a Spanish deep-tech company, provides synthetic data solutions for training AI models. With 25 years of experience, it supports industries like automotive, autonomous driving, and security.

Kognic is the leading platform for creating sensor-fusion datasets through advanced annotation. It helps enterprises streamline data production for AI and machine learning applications.

Understand.ai makes deep learning accessible for real-world applications like self-driving cars. With over 6 years of ADAS/AD experience, they provide expert annotation solutions to support autonomous project development and validation

ART, founded in the early 2000s, is a leading Italian manufacturer of high-tech infotainment and dashboard systems for luxury and sports vehicles. With expertise in automotive, aerospace, and other industries, ART develops advanced electronics and innovative solutions, employing around 300 people globally.

TomTom is a global leader in location data and technology, providing maps, real-time traffic, and APIs to support drivers, businesses, and developers. With 4,000 employees worldwide, TomTom has been shaping the future of mobility for over 30 years from its headquarters in Amsterdam.

Kognic is the leading platform for creating sensor-fusion datasets through advanced annotation. It helps enterprises streamline data production for AI and machine learning applications.

Vueron develops high-performance LiDAR perception software, using AI to identify objects around sensors for ADAS and autonomous driving systems. Their mission is to enhance safety on roads, in homes, and across cities with reliable LiDAR solutions.

Yaak develops multi-modal data visualization, search, and open-source software to create spatial intelligence foundation models for robotics. Their tools enhance the development of advanced robotics systems.