Automotive White Papers and Case Studies

  1. Four Reasons Thermal Cameras Can Improve Automatic Emergency Braking And Save Lives
    7/17/2019

    The Governors Highway Safety Association (GHSA) estimates 6,200 pedestrians were killed in traffic accidents in the U.S. in 2018, the highest total since 1990. The GHSA also found that, during the past 10 years, nighttime crashes accounted for more than 90 percent of the increase in pedestrian deaths.

  2. FREE FLIR Thermal Dataset For Algorithm Training
    7/17/2019

    The FLIR starter thermal dataset enables developers to start training convolutional neural networks (CNN), empowering the automotive community to create the next generation of safer and more efficient ADAS and driverless vehicle systems using cost-effective thermal cameras from FLIR.

  3. Introduction To Sensor And Scanner Window Solutions
    6/26/2019

    With growing applications in industrial 3D metrology, machine vision, automotive obstacle avoidance, security and security, and other digital imaging applications, the demand for optical and image sensors has also grown. Abrisa technologies offers sensor and scanning window solutions with a unique combination of performance coating design and volume glass fabrication.

  4. Achieve Faster Automotive Production With High-Quality Imaging Inspections
    5/2/2019

    Featuring ultra-high pixel counts, large pixel sizes, compact designs, and global shutters, Canon’s new line of CMOS sensors for automotive applications offer opportunities for your innovations.

  5. Making Waves: Nanosecond Pulsed Drivers For Flash LiDAR
    1/7/2019

     The limiting factor on a diode laser’s pulse features is not the laser itself — it is the electrical driver that supplies the electrons to the laser diode. This paper discusses challenges involved in optimizing nanosecond electrical driver performance in a flash LiDAR system.

  6. Part 4: Overcoming Technical And Logistical Automotive Integration Challenges
    9/20/2018

    Safe advanced driver assist system (ADAS) vehicles and autonomous vehicles (AV) require the use of sensors to deliver scene data adequate for the detection and classification algorithms to autonomously navigate under all conditions. This requirement cannot be adequately met with just visible cameras, sonar, and radar sensors. Thermal, or longwave infrared (LWIR), cameras can detect and classify pedestrians in darkness, fog, and sun glares, and deliver improved technical and logistical integration for ADAS systems. This white paper is Part 4 of the series how thermal infrared cameras overcome technical and logistical integrations challenges in autonomous driving.

  7. Part 3: The Pathway To Affordable, Scalable Automotive Integration
    9/20/2018

    Safe advanced driver assist system (ADAS) vehicles and autonomous vehicles (AV) require the use of sensors to deliver scene data adequate for the detection and classification algorithms to autonomously navigate under all conditions. This requirement cannot be adequately met with just visible cameras, sonar, and radar sensors, as they do not meet many safety concerns in real conditions. Thermal, or longwave infrared (LWIR), cameras can detect and classify pedestrians in darkness, fog, and sun glares, delivering improved situational awareness in ADAS and AV. This white paper is Part 3 of the series on how thermal infrared cameras deliver an affordable, scalable and integrative solution over other sensor technologies for autonomous driving.

  8. Part 2: Technical Advantages Of Thermal Cameras In ADAS And AV Platforms
    9/20/2018

    This white paper is Part 2 of the series on the technical advantages that thermal infrared cameras deliver over other technologies for autonomous driving.

  9. Part 1: Why ADAS And Autonomous Vehicles Need Thermal Infrared Cameras
    9/20/2018

    Safe advanced driver assist system (ADAS) vehicles and autonomous vehicles (AV) require the use of sensors to deliver scene data adequate for the detection and classification algorithms to autonomously navigate under all conditions for SAE automation level 5. This challenging requirement cannot be adequately met with just visible cameras, sonar, and radar sensors. As a solution, thermal, or longwave infrared (LWIR), cameras can detect and classify pedestrians in darkness, fog, and sun glares, delivering improved situational awareness in ADAS and AV. This white paper is Part 1 of a series on why thermal infrared cameras are a necessity for autonomous driving.

  10. The Race To The Starting Line: Edge-Emitting Diode Lasers vs. VCSELs For The Automotive Lidar Market
    3/13/2018

    The competition to be the leading diode laser source for automotive lidar is not a race to the top, but rather a race to the starting line. Before reaching the goal to implement lidar ADAS in consumer vehicles by 2020, there must be at least one year of certification and testing before going to market.