Automotive Archives - Edge AI and Vision Alliance

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

Algorithms, Articles, Automotive, NVIDIA, Processors, Software, Tools / April 2, 2020 April 2, 2020

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… Speeding Up Deep Learning Inference …

Speeding Up Deep Learning Inference Using TensorFlow, ONNX, and TensorRT Read More +

“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 / March 25, 2020 March 27, 2020

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… “Market Analysis on SoCs for …

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

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

Automotive, Blog Posts, NVIDIA / March 12, 2020 March 12, 2020

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 +

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

Automotive, Intel, News / December 20, 2019 February 5, 2020

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 …

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

“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, Software, Summit 2019, Tools, Videos / September 19, 2019 April 1, 2020

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 …

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

“Distance Estimation Solutions for ADAS and Automated Driving,” a Presentation from AImotive

AImotive, Algorithms, Automotive, Processors, Sensors, Software, Summit 2019, Tools, Videos / September 17, 2019 April 1, 2020

Gergely Debreczeni, Chief Scientist at AImotive, presents the “Distance Estimation Solutions for ADAS and Automated Driving” tutorial at the May 2019 Embedded Vision Summit. Distance estimation is at the heart of automotive driver assistance systems (ADAS) and automated driving (AD). Simply stated, safe operation of vehicles requires robust distance estimation. Many different types of sensors …

“Distance Estimation Solutions for ADAS and Automated Driving,” a Presentation from AImotive Read More +

“Can We Have Both Safety and Performance in AI for Autonomous Vehicles?,” a Presentation from Codeplay Software

Algorithms, Automotive, Codeplay Software, Processors, Software, Summit 2019, Tools, Videos / September 12, 2019 April 1, 2020

Andrew Richards, CEO and Co-founder of Codeplay Software, presents the “Can We Have Both Safety and Performance in AI for Autonomous Vehicles?” tutorial at the May 2019 Embedded Vision Summit. The need for ensuring safety in AI subsystems within autonomous vehicles is obvious. How to achieve it is not. Standard safety engineering tools are designed …

“Can We Have Both Safety and Performance in AI for Autonomous Vehicles?,” a Presentation from Codeplay Software Read More +

“DNN Challenges and Approaches for L4/L5 Autonomous Vehicles,” a Presentation from Graphcore

Algorithms, Automotive, Graphcore, Processors, Sensors, Software, Summit 2019, Tools, Videos / September 10, 2019 April 1, 2020

Tom Wilson, Vice President of Automotive at Graphcore, presents the “DNN Challenges and Approaches for L4/L5 Autonomous Vehicles” tutorial at the May 2019 Embedded Vision Summit. The industry has made great strides in development of L4/L5 autonomous vehicles, but what’s available today falls far short of expectations set as recently as two to three years …

“DNN Challenges and Approaches for L4/L5 Autonomous Vehicles,” a Presentation from Graphcore Read More +

“Addressing Corner Cases in Embedded Computer Vision Applications,” a Presentation from Netradyne

Algorithms, Automotive, Edge AI and Vision Alliance, Object Identification, Software, Summit 2019, Tools, Videos / August 12, 2019 February 29, 2020

David Julian, CTO and Founder of Netradyne, presents the “Addressing Corner Cases in Embedded Computer Vision Applications” tutorial at the May 2019 Embedded Vision Summit. Many embedded vision applications require solutions that are robust in the face of very diverse real-world inputs. For example, in automotive applications, vision-based safety systems may encounter unusual configurations of …

“Addressing Corner Cases in Embedded Computer Vision Applications,” a Presentation from Netradyne Read More +

“What’s Changing in Autonomous Vehicle Investments Worldwide — and Why?,” a Presentation from Woodside Capital Partners

Algorithms, Automotive, Edge AI and Vision Alliance, Market Analysis, Processors, Sensors, Software, Summit 2019, Tools, Videos / July 22, 2019 February 6, 2020

Rudy Burger, Managing Partner at Woodside Capital Partners, presents the "What’s Changing in Autonomous Vehicle Investments Worldwide—and Why?" tutorial at the May 2019 Embedded Vision Summit. So far, over $100B has been invested by industry into the development of autonomous vehicles (AVs), and the pace of investment has recently accelerated. In this talk, Burger presents …

“What’s Changing in Autonomous Vehicle Investments Worldwide — and Why?,” a Presentation from Woodside Capital Partners Read More +

Automotive

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

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

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

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

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

“Distance Estimation Solutions for ADAS and Automated Driving,” a Presentation from AImotive

“Can We Have Both Safety and Performance in AI for Autonomous Vehicles?,” a Presentation from Codeplay Software

“DNN Challenges and Approaches for L4/L5 Autonomous Vehicles,” a Presentation from Graphcore

“Addressing Corner Cases in Embedded Computer Vision Applications,” a Presentation from Netradyne

“What’s Changing in Autonomous Vehicle Investments Worldwide — and Why?,” a Presentation from Woodside Capital Partners

May 18 - 21, Santa Clara, California

The preeminent event for practical, deployable computer vision and visual AI, for product creators who want to bring visual intelligence to products.

Pages

Topics

Contact

Address

Phone