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Self-Driving Cars That Recognize Free Space Can Better Detect Objects

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PITTSBURGH, June 16, 2020 — Researchers at Carnegie Mellon University (CMU) have demonstrated that they can significantly improve detection accuracy in self-driving cars by helping the vehicle recognize what it does not see. Self-driving vehicles use 3D data from lidar to represent objects as a point cloud and then try to match those point clouds to a library of 3D representations of objects. The problem with that, according to Peiyn Hu, a Ph.D. student in CMU’s Robotics Institute, is that the 3D data from the vehicle’s lidar isn’t exactly 3D — the sensor can’t see the occluded parts...Read full article

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    Published: June 2020
    Glossary
    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...
    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...
    Research & Technologymachine visionlidar3D visionCarnegie Mellon UniversityCarnegie Mellon’s Robotics InstituteCarnegie MellonSelf-driving carsself-driving vehiclesself-driving (SD) vehiclesautonomousautonomous car lidarautonomous carsAutonomous driving

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