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Automotive Applications for Embedded Vision

Vision products in automotive applications can make us better and safer drivers

Vision products in automotive applications can serve to enhance the driving experience by making us better and safer drivers through both driver and road monitoring.

Driver monitoring applications use computer vision to ensure that driver remains alert and awake while operating the vehicle. These systems can monitor head movement and body language for indications that the driver is drowsy, thus posing a threat to others on the road. They can also monitor for driver distraction behaviors such as texting, eating, etc., responding with a friendly reminder that encourages the driver to focus on the road instead.

In addition to monitoring activities occurring inside the vehicle, exterior applications such as lane departure warning systems can use video with lane detection algorithms to recognize the lane markings and road edges and estimate the position of the car within the lane. The driver can then be warned in cases of unintentional lane departure. Solutions exist to read roadside warning signs and to alert the driver if they are not heeded, as well as for collision mitigation, blind spot detection, park and reverse assist, self-parking vehicles and event-data recording.

Eventually, this technology will to lead cars with self-driving capability; Google, for example, is already testing prototypes. However many automotive industry experts believe that the goal of vision in vehicles is not so much to eliminate the driving experience but to just to make it safer, at least in the near term.

“Challenges in Vision-based Adaptive Traffic Control Systems,” a Presentation from Sahaj Software Solutions

Venkatesh Wadawadagi, Solution Consultant at Sahaj Software Solutions, presents the “Challenges in Vision-based Adaptive Traffic Control Systems” tutorial at the May 2021 Embedded Vision Summit. Adaptive traffic control systems (ATCSs) adjust traffic signal timing based on demand. Wadawadagi begins by presenting the main building blocks of a vision-based ATCS, including… “Challenges in Vision-based Adaptive Traffic

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Global Sensor Fusion for Automotive by Technology, Data Fusion , Software Layer, and Vehicle

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GML and EZ-WHEEL Partner to Bring a Unique AI-powered Wheel Drive to Autonomous Mobile Robots

October 1, 2021–PARIS–(BUSINESS WIRE)–GrAI Matter Labs (GML), a pioneer of brain-inspired computing solutions, announced today that it has entered into a partnership with ez-Wheel, a French company specializing in autonomous electric wheels, to develop an AI powered Wheel Drive for Autonomous Mobile Robots (AMRs) that will be available in 2023. The award winning ez-Wheel solution

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“Data Collection in the Wild,” a Presentation from BMW Group

Vladimir Haltakov, Self-Driving Car Engineer at BMW Group, presents the “Data Collection in the Wild” tutorial at the May 2021 Embedded Vision Summit. In scientific papers, computer vision models are usually evaluated on well-defined training and test datasets. In practice, however, collecting high-quality data that accurately represents the real world… “Data Collection in the Wild,”

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Blaize and LeiShen Intelligence Enter Strategic Cooperation Agreement to Integrate Lidar and AI Functions

El Dorado Hills, CA— September 23, 2021 — Blaize® today announced a strategic cooperation agreement with Lidar solutions leader LeiShen, for in-depth cooperation on the integration of Lidar and AI functions in intelligence applications for autonomous operation across a range of automotive and smart city markets in China. As part of the agreement, Blaize and

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Dongfeng Motor Group and Ambarella Partner on Driver Monitoring System for Yixuan Max Mass-Production Vehicle

SANTA CLARA, Calif., Sept. 22, 2021 — Ambarella, Inc. (NASDAQ: AMBA), an AI vision silicon company, today announced that it partnered with Dongfeng Fengshen (Aeolus), a mid-to-high-end brand of the Dongfeng Motor Group, to build a Driver Monitoring System (DMS) based on Ambarella’s CV25 AI vision SoC and development platform. The first mass-production application of

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The Car Market Brings a New Opportunity for Semiconductor Companies

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. The automotive sector is undergoing radical changes, both industrially and technologically. The covid-19 pandemic has accelerated this transition, which has already started with the switch to all-electric vehicles. Indeed, covid-19 is now one of

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Setting Records in Recording

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Video recording applications continue to play a key role in automotive. Our history as a company began with recording. It’s an inextricable part of our organizational DNA. Nearly fifteen years ago, we enabled the first-ever 1080p solid-state

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Automotive Semiconductor Industry: The Winds of Change

This market research report was originally published at Yole Développement’s website. It is reprinted here with the permission of Yole Développement. The automotive industry faces new industrial and technological challenges while undergoing dramatic changes in its value chain. OUTLINE Market forecasts: In 2035, C.A.S.E. will be a US$318 billion market. Semiconductor’s value (chip level) in

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New Arm Technologies to Transform the Software-defined Future For the Automotive Industry

News Highlights: Arm is delivering critical resources to accelerate the automotive industry’s software-defined future with support from leading industry players including AWS, Continental, CARIAD and more SOAFEE, a new software architecture and open-source reference implementation, brings the real-time and safety needs of automotive together with the advantages of a cloud-native approach Two new reference hardware

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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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