Intelligent vehicle light eye system

Abstract

The invention relates to an intelligent vehicle light system. The intelligent vehicle light eye system includes a protective cover and a display system. The protective cover is internally provided with a controller, an illuminating system and an imaging input system; the controller is electrically connected with the illuminating system, the imaging input system and the display system; the illuminating system includes an infrared band semiconductor laser array group, an infrared zoom lens and a zoom motor; and the imaging input system includes an image stabilizing device, a camera and a star-level lens. According to the intelligent vehicle light eye system, the capacities of beyond-visual-range star-level imaging and storing record can be obtained under the light with a low illumination level, an existing method of headlight illuminating can be replaced, vehicle outside environment imaging is displayed in real-time, thus a driver in a cab is provided with clear real-time road conditionvideo image aided driving, the dead zone problem that a vehicle radar can be prone to being effected by weather can be made up, and further development of driverless technology is promoted.

Description

technical field [0001] The invention relates to the field of automobiles, in particular to an intelligent automobile optical eye system. Background technique [0002] At present, traditional motor vehicle headlights generally use xenon lamp lighting to improve the visual range, but due to the high illuminance of the lights, it will cause temporary blindness to the oncoming pedestrians and vehicle drivers, which brings extreme damage to pedestrians and drivers. In addition, the traditional xenon headlights cannot provide a visual effective distance within a safe distance under low visibility weather conditions, resulting in some traffic accidents such as rear-end collisions due to insufficient braking distance, which endangers the driver's personal safety , and some traditional motor vehicle traffic accidents require traffic police or insurance companies to go to the scene to collect evidence, and then judge and deal with it through peripheral video surveillance. The responsi...

AI Technical Summary

Problems solved by technology

[0002] At present, traditional motor vehicle headlights generally use xenon lamp lighting to improve the visual range, but due to the high illuminance of the lights, it will cause temporary blindness to the oncoming pedestrians and vehicle drivers, which brings extreme damage to pedestrians and drivers. In addition, the traditional xenon headlights cannot provide a visual effective distance within a safe distance under low visibility weather conditions, resulting in some traffic accidents such as rear-end collisions due to insufficient braking distance, which endangers the driver's personal safety , and some traditional motor vehicle traffic accidents require the traffic police or insurance companies to go to the scene to collect evidence, and then judge and deal with it through surrounding video surveillance. The responsibility identification cycle is long, which affects the driver's normal driving plan

[0003] In addition, the existing intelligent unmanned vehicles all use vehicle-mounted radar, but because the radar has blind spots and is easily affected by the weather, and the lidar is expensive, the safe driving ability of the current intelligent unmanned vehicles has not reached the real level. application requirements

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