The Embedded Vision Summit was held on May 20-23, 2019 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2019 Embedded Vision Summit […]
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While visible light image sensors may be the baseline “one sensor to rule them all” included in all autonomous system designs, they’re not necessarily a sole panacea. By combining them with other sensor technologies: “Situational awareness” sensors; standard and high-resolution radar, LiDAR, infrared and UV, ultrasound and sonar, etc., and “Positional awareness” sensors such as
Multi-sensor Fusion for Robust Device Autonomy Read More +
NVIDIA’s Jensen Huang, Mercedes’ Sajjad Khan unveil vision for software-defined AI cars integrating self-driving, intelligent cockpits. Mercedes-Benz announced today it has selected NVIDIA to help realize its vision for next-generation vehicles. Speaking to a packed crowd at the Mercedes-Benz booth on the first day of CES 2019, Mercedes-Benz Executive Vice President Sajjad Khan and NVIDIA
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Arunesh Roy, Radar Algorithms Architect at NXP Semiconductors, presents the “Understanding Automotive Radar: Present and Future” tutorial at the May 2018 Embedded Vision Summit. Thanks to its proven, all-weather range detection capability, radar is increasingly used for driver assistance functions such as automatic emergency braking and adaptive cruise control. Radar is considered a crucial sensing
Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the “Role of the Cloud in Autonomous Vehicle Vision Processing: A View from the Edge” tutorial at the May 2018 Embedded Vision Summit. Regardless of the processing topology—distributed, centralized or hybrid —sensor processing in automotive is an edge compute problem. However, with
Felix Heide, CTO and Co-founder of Algolux, presents the “Understanding Real-World Imaging Challenges for ADAS and Autonomous Vision Systems – IEEE P2020” tutorial at the May 2018 Embedded Vision Summit. ADAS and autonomous driving systems rely on sophisticated sensor, image processing and neural-network based perception technologies. This has resulted in effective driver assistance capabilities and
Markus Tremmel, Chief Expert for ADAS at Bosch, presents the “Computer Vision Hardware Acceleration for Driver Assistance” tutorial at the May 2018 Embedded Vision Summit. With highly automated and fully automated driver assistance system just around the corner, next generation ADAS sensors and central ECUs will have much higher safety and functional requirements to cope
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László Kishonti, founder and CEO of AImotive, presents the “How Simulation Accelerates Development of Self-Driving Technology” tutorial at the May 2018 Embedded Vision Summit. Virtual testing, as discussed by Kishonti in this presentation, is the only solution that scales to address the billions of miles of testing required to make autonomous vehicles robust. However, integrating
Fergus Casey, R&D Director for ARC Processors at Synopsys, presents the “Designing Smarter, Safer Cars with Embedded Vision Using Synopsys EV Processor Cores” tutorial at the May 2018 Embedded Vision Summit. Consumers, the automotive industry and government regulators are requiring greater levels of automotive functional safety with each new generation of cars. Embedded vision, using
The Embedded Vision Summit was held on May 21-24, 2018 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2018 Embedded Vision Summit
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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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