Automotive

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.

In-cabin Sensing: Gaze Tracking and Steering Wheel Sensors

Driver monitoring systems and occupant monitoring systems operating within a vehicle are designed to enhance passenger welfare and increase the safety of vehicles. IDTechEx outlines technologies from infrared cameras and time-of-flight cameras, to potential ECG monitoring within the steering wheel in their report, “In-Cabin Sensing 2024-2034: Technologies, Opportunities and Markets“. Infrared uses and adoption RGB-infrared

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Free Webinar Explores Sensing Solutions for ADAS and Autonomous Vehicles

On January 28, 2025 at 9 am PT (noon ET), Ian Riches, Vice President of the Global Automotive Practice at TechInsights, will present the free hour webinar “Sensing In ADAS and Autonomous Vehicles: What’s Winning, and Why?,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: It’s clear

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MIPS Releases P8700, Industry’s First High-performance AI-enabled RISC-V Automotive CPU for ADAS and Autonomous Vehicles

SAN JOSE, CA – October 30, 2024 – MIPS, a leading developer of efficient and configurable IP compute cores, announced today the general availability(GA) launch of the MIPS P8700 Series RISC-V Processor. Designed to meet the low-latency, highly intensive data movement demands of the most advanced automotive applications such as ADAS and Autonomous Vehicles (AVs),

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The Global Robotaxi Market Value in 2024 Will be $174B

For more information, visit https://www.idtechex.com/en/research-report/autonomous-vehicles-market-2025-2045-robotaxis-autonomous-cars-sensors/1045. The global robotaxi vehicle market value in 2045 will be US$174 billion, growing with a 20-year CAGR of 37% between 2025 and 2045 and with a market share dominated by leaders from the US and China, such as Google’s Waymo, GM’s Cruise, WeRide, Baidu, and AutoX. IDTechEx’s Autonomous Vehicles Market

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MIPI Alliance Releases Camera Security Specifications for Flexible End-to-end Protection of Automotive Image Sensor Data

MIPI Camera Security Framework delivers application-layer security services for end-to-end data protection and configurable security levels based on application requirements BRIDGEWATER, N.J., October 29, 2024—The MIPI Alliance, an international organization that develops interface specifications for mobile and mobile-influenced industries, today announced the release of the MIPI Camera Security Framework, which defines a flexible approach to

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Qualcomm Announces Multi-year Strategic Collaboration with Google to Deliver Generative AI Digital Cockpit Solutions

Highlights: Qualcomm and Google will leverage Snapdragon Digital Chassis and Google’s in-vehicle technologies to produce a standardized reference framework for development of generative AI-enabled digital cockpits and software-defined vehicles (SDV). Qualcomm to lead go-to-market efforts for scaling and customization of joint solution with the broader automotive ecosystem. Companies’ collaboration demonstrates power of co-innovation, empowering automakers

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Qualcomm Races Ahead in the Evolution of Software-defined Vehicles with New Snapdragon Cockpit Elite and Snapdragon Ride Elite Platforms

Highlights: Li Auto and Mercedes-Benz AG select Snapdragon Elite tier automotive platforms for their future commercialized vehicles. New Snapdragon Cockpit Elite and Snapdragon Ride Elite platforms debut with Qualcomm Oryon CPU, now tailored for automotive. Platforms are targeting 3x faster CPU and up to 12x stronger AI performance* for in-vehicle experiences compared to previous flagship

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