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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.

HANK HOGAN, CONTRIBUTING EDITOR

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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Published: October 2018
Glossary
lidar
Lidar, short for light detection and ranging, is a remote sensing technology that uses laser light to measure distances and generate precise, three-dimensional information about the shape and characteristics of objects and surfaces. Lidar systems typically consist of a laser scanner, a GPS receiver, and an inertial measurement unit (IMU), all integrated into a single system. Here is how lidar works: Laser emission: A laser emits laser pulses, often in the form of rapid and repetitive laser...
machine vision
Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
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