Automotive

Imagination Showcases Groundbreaking New Safety-critical Driver

Automotive, Imagination Technologies, News /

Taking the first steps to making safety-critical 3D graphics for the automotive market a reality London, England; 29th April 2020 – Imagination Technologies new OpenGL® SC (Safety-Critical) 2.0 driver development for its automotive graphics processing units (GPUs) enables automotive OEMs and Tier 1s to benefit from GPU acceleration in safety-critical applications. Automotive applications such as […]

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AImotive Relies On First ISO26262 Certified Simulator to Power CI/CD (Continuous Integration and Delivery) of Automated Driving

AImotive, Automotive, News /

Essential first step to creating certifiable toolchain for ADAS/AD development also allows AImotive to continue development when road testing possibilities are limited during the global COVID-19 outbreak. Budapest, Hungary – April 28, 2020 – AImotive, one of the world’s leading providers of automated driving technologies today announced that its aiSim™ simulator has been certified to

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Automotive Lighting: From “Vision” to “Driving Assistance”

Automotive, Market Analysis, Yole Group /

Outlines: Automotive lighting market is expected to reach US$38.8 billion by 2024, with 4,9% CAGR between 2018 and 2024. Evolution of lighting technologies enables new functionalities. ADAS vehicles: sensors integration is becoming mandatory. LiDAR integration: OEM s have several requirements at different levels. “Autonomous vehicle technologies have a direct impact on traditional vehicles market and

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Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT

Algorithms, Articles, Automotive, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Starting with TensorRT 7.0,  the Universal Framework Format (UFF) is being deprecated. In this post, you learn how to deploy TensorFlow trained deep learning models using the new TensorFlow-ONNX-TensorRT workflow. Figure 1 shows the high-level workflow of TensorRT.

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“Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive and Mobile Markets,” a Presentation from Yole Développement

Automotive, Market Analysis, Processors, Videos, Yole Group /

John Lorenz, Market and Technology Analyst for Computing and Software at Yole Développement, delivers the presentation “Market Analysis on SoCs for Imaging, Vision and Deep Learning in Automotive and Mobile Markets” at the Edge AI and Vision Alliance’s March 2020 Vision Industry and Technology Forum. Lorenz presents Yole Développement’s latest analysis on the evolution of

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Laser Focused: How Multi-View LidarNet Presents Rich Perspective for Self-Driving Cars

Automotive, Blog Posts, NVIDIA /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Deep neural network takes a two-stage approach to address lidar processing challenges. Editor’s note: This is the latest post in our NVIDIA DRIVE Labs series, which takes an engineering-focused look at individual autonomous vehicle challenges and how

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IEEE to Define a Formal Model for Safe Automated Vehicle Decision-Making

Automotive, Intel, News /

What’s New: The Institute of Electrical and Electronics Engineers (IEEE) has approved a proposal to develop a standard for safety considerations in automated vehicle (AV) decision-making and named Intel Senior Principal Engineer Jack Weast to lead the workgroup. Participation in the workgroup is open to companies across the AV industry, and Weast hopes for broad

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“Improving the Safety and Performance of Automated Vehicles Through Precision Localization,” a Presentation from VSI Labs

Algorithms, Automotive, Edge AI and Vision Alliance, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Phil Magney, founder of VSI Labs, presents the “Improving the Safety and Performance of Automated Vehicles Through Precision Localization” tutorial at the May 2019 Embedded Vision Summit. How does a self-driving car know where it is? Magney explains how autonomous vehicles localize themselves against their surroundings through the use of a variety of sensors along

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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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