Applied Intuition provides simulation software and infrastructure tools to safely develop, test, and deploy autonomous systems at scale. Our suite of products, focused on simulation, drive data management, and analytics, enables development teams to create thousands of scenarios in minutes, run simulations at scale, automate requirements management, and reduce on-road testing. Applied’s solution amplifies the real-world miles driven by picking edge cases from the drive data, creating variations of test scenarios, and supplementing them with synthetic data. Our solutions support safe operations of vehicles by catching failure cases early and enabling algorithm improvement post-deployment.
Headquartered in Silicon Valley with offices in Detroit, Los Angeles, Munich, Tokyo, and Seoul, Applied is composed of software and automotive experts with experiences from the top global companies. Industry-leading companies of all sizes use Applied’s solutions to bring autonomy to market faster.
www.appliedintuition.com/
TomTom is the leading independent location technology specialist, shaping mobility with highly accurate maps, navigation software, real-time traffic information and services. To achieve our vision of a safer world, free of congestion and emissions, we create innovative technologies that keep the world moving. By combining our extensive experience with leading business and technology partners, we power connected vehicles, smart mobility and, ultimately, autonomous driving. Headquartered in Amsterdam with offices in 30 countries, TomTom’s technologies are trusted by hundreds of millions of people worldwide. For more information, visit our website at
www.tomtom.com/
Based on more then 20 years of research and development on localization of vehicles using GNSS in sensor data fusion systems, NAVENTIK was founded as a spinoff from University of Technologies Chemnitz. NAVENTIK’s mission is to provide high performance vehicle localization technology to mass market applications. Please contact us for more information.
naventik.de/
Algolux enables autonomous vision – empowering cameras to see more clearly and perceive what cannot be sensed with today’s imaging and vision systems. Computer vision is at the heart of autonomous cars, ADAS, mobile devices, security cameras (IoT), AR/VR, robotics, drones, and medical equipment, leading the next wave of market growth and social impact. Developed by an industry-recognized team of machine learning, computer vision, and image processing researchers, our patented and award-winning machine-learning technologies address the complexity of optimizing imaging and vision systems while improving the costs, time-to-market, and expertise challenges faced by product development teams.
algolux.com/
Samasource is your trusted partner for the creation and annotation of high-quality training data for AI machine learning algorithms. With their experienced workforce, consultative project management, and innovative technology they support R&D departments and Data Scientist teams with structured data for their deep learning algorithms. Samasource works on computer vision and natural language processing for applications such as self-driving cars, facial recognition, satellite image analysis, chatbots, and everything in between.
www.samasource.com/
Critical technology trends in ADAS, V2X, and EV are bringing with them new test challenges and pressures beyond the here and now.
ADAS and autonomous driving test requirements and devices under test are constantly evolving to take advantage of the latest technology. NI’s verification and validation test solutions are built on modular and open, commercial-off-the-shelf platforms, so they can easily be adapted as your requirements and DUT, evolves – helping you maximize test coverage in minimal time.
Work with National Instruments to overcome the pressure of these rapidly changing test requirements using an open and easily upgradable platform that is designed for test system flexibility and enables you to test the vehicles of tomorrow today.
ni.com/automotive
November 15 – 17, 2021, Online
