good optics: oryx vision wants your robot car to see very, very clearly
Like a professional baseball player, driverless cars need a great vision to function properly. Rice X Vision, a technology star starting from self Think it has the optical upgrade mode that automakers are looking. The small Israeli company has completed its first round of financing as it is committed to commercializing optical depth Sensing technology specifically designed for self-driving vehicles. The company says the nano-antenna sensor will have 50- Better performance and cost than lidar technology, as well as automotive vision systems that already exist on the market, including radar and camerasbased sensors. Led by Menlo Park Bessemer Venture Partners, whose headquarters is based, has raised $17 million in a series of sensors based on \"coherent optical radar\" systems. Other investors included Maniv Mobility and truck venture capital, while Bessemer\'s partner Adam Fisher joined the board of directors at the time it personnel increased and moved from lab to commercial. According to the CEO and colleagues, if all goes well, it happens about 2020 Founder Rani Wellingstein \"Driverless cars need more depth -- \"Perception is higher than originally thought,\" Weinstein said in an interview . \". \"Traditional lidar is not good enough. You need a completely different technology. With the development of artificial intelligence and huge data Processing ability, self- Driving a vehicle requires sensors capable of accurately detecting the surrounding environment, pavement, objects and conditions in bright light or dark and in any type of weather (including snow and ice. Laser- Sensors based on LIDAR or light detection and ranging are now provided by Velodyne to automakers and technology companies, limited in terms of the distance it can see, how much energy and cost it needs; Conventional radar does not provide clear enough images; The cameras don\'t look far enough, says Wellingstein. While it is possible that the commercial rice X vision sensor will not be available for at least three years, the company has demonstrated its technology to \"usual suspects\" in the automotive industry and is discussing it with them, he said. No details. The goal isto of the rice X sells sensors for $100 to $250 each. A semi- Two self-driving cars are needed, while four to eight fully self-driving cars are needed, says Wellingstein. Together with Velodyne, Velodyne is a major supplier of rotating lidar equipment for Google, Ford, Uber and other companies that test themselves In driving a car, the technology of the rice X has to go beyond rival sensors, including the mobile Eye camera. Based on equipment and radar manufactured by Bosch. Quanergy Systems Inc. A Silicon Valley start-up is preparing to sell solid-state LIDAR equipment for automated vehicles, and target the same price as the target for the rice X: $100 to $250 per unit. Velodyne\'s early automotive lidar system, a rotating lidar system, was installed in a unit similar to a police light at a cost of up to $75,000, although its latest equipment costs $7,999. Akhilesh Kona of Munich says Wellingtein is right to think the lidar is not good enough Automotive semiconductor analyst at IHS Markit. As a result, the new solid- He said the National lidar equipment with 3D object detection capability will soon be available. Suppliers like the mainlandASC) , Quanergy and LeddarCore are working on the solution for 100- \"The meter and above range,\" Kona said . \". \"In the depth of the feeling, the rice X propaganda Olympic Committee is not only mobile Ye and the speed generator. \"Tesla Motor Company, promote its half This year, a car owner was killed in a fatal car accident in Florida, when the camera of the car was A white truck could not be detected in the bright sun based on the sensor passing through it. Mobile Ye and Tesla, suppliers of these sensors, parted ways in July. On September, Tesla CEO Elon Musk announced that it would upgrade the autopilot, including relying more on the radar that has already installed Model S and Model X electric vehicles to strengthenU. S. Safety regulators continue to review the accident. Rice X Vison takes different methods for optical depth sensing. The company has developed an enhanced radar that uses tiny, highly sensitive antennas to receive radio waves, just as traditional antennas receive radio waves. These antennas are mounted on silicon chips. This coherent lidar system relies on Wave \"sensing, receiving infrared rays outside the visible spectrum of the human eye. Another benefit, says Wellingstein, is that it requires less energy to run than a lidar. The visual requirements of fully automatic cars are very demanding. \"You need to be able to detect 80 metres of tyre debris, 100 metres of people or 150 metres of motorcycle approaching you,\" he said . \". \"The radar can detect the motorcycle, but it can\'t tell which angle it comes from. Tire debris is black on the road and is hard to detect with the camera. The lidar can detect it, but it can\'t detect 80 metres. \"Rice X believes that its approach provides a combination of higher resolution and higher range. \"The feedback we get is very similar: The radar is not good enough, and LiDARs are covered by the sun, so it will only go out to 30 or 40 m on sunny days,\" said Stan. \"The answer we get is hurry up and get us something as soon as possible.
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