This market research report was originally published at Yole Développement’s website, and is extracted from “Sensing and Computing for ADAS Vehicle 2020 Report.” It is reprinted here with the permission of Yole Développement. Outlines: Better sensor performance to enable automated driving. A sensor market worth US$22.4 billion in 2025, led by radars. Greater ADAS functionality […]
ADAS, a Rebirth For the Automotive Industry Read More +
The significant increase in enabling technology and applications made up of AI, sensors, hardware, software and IC processors has had a profound impact on the automotive industry and the advancement of driver assistance technology and autonomous vehicles. This in turn, has contributed to the creation of a market that is expected to ship 15 million
Dynamic Automotive Industry Set For Exciting Innovative Growth Read More +
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
Imagination Showcases Groundbreaking New Safety-critical Driver Read More +
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
This blog post was originally published at Algolux’ website. It is reprinted here with the permission of Algolux. The state of autonomy is not where anyone predicted it would be. About two years ago, Nvidia’s CEO Jensen Huang was at CES to discuss how their tech would lead to Level 4 autonomy by 2020. As
How Rethinking AI in Automotive Can Improve Driving Safety Read More +
This blog post was originally published by AImotive. It is reprinted here with the permission of AImotive. The unprecedented situation that has developed as a result of the current COVID-19 outbreak has brought a new range of challenges to the fore in automotive software development. At AImotive, we are relying on our highly automated development
Accelerating Remote Automotive Development Read More +
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
Automotive Lighting: From “Vision” to “Driving Assistance” Read More +
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.
Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT Read More +
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
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
Laser Focused: How Multi-View LidarNet Presents Rich Perspective for Self-Driving Cars Read More +
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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