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For Self-Driving Cars, Sensors Galore

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Sensors in self-driving cars must resolve multiple performance challenges that involve temperature, illumination, reflectivity, navigation — and even cybersecurity.


Self-driving cars bring both opportunities and challenges to photonics-based sensors. Autonomous vehicles will need dozens of sensors ofmany types — lidar, camera, radar, and ultrasonic — and many sensors on millions of vehicles make the potential opportunity significant. The challenges are many as well. Cameras and lidars must operate for years across widely varying temperatures, illumination levels, and target reflectivities, while reliably producing the data needed for safe

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Photonics Spectra
Dec 2018
An acronym of light detection and ranging, describing systems that use a light beam in place of conventional microwave beams for atmospheric monitoring, tracking and detection functions. Ladar, an acronym of laser detection and ranging, uses laser light for detection of speed, altitude, direction and range; it is often called laser radar.
machine vision
Interpretation of an image of an object or scene through the use of optical noncontact sensing mechanisms for the purpose of obtaining information and/or controlling machines or processes.
lidarsmart lidarSensors & Detectorsautonomous carscamerasYole DéveloppementVelodyneQuanergy LeddarTechmachine visionOmniVisionON SemiconductorVeloVisiondriver assistFeatures

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