Integration of LiDAR with laser headlight for autonomous driving (Conference Presentation)

Yung-Peng Chang, Hsin-An Chen, Shih-Hsin Chang, Z. Pei, Chun-Nien Liu, P. Han, W. Cheng
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Abstract

Lidar, radar, optical imaging and ultrasonic are important environmental sensing technologies in the field of autonomous driving. Among them, the radar can perform long-distance sensing, however it is limited by the resolution and cannot distinguish objects. Optical images have clear object resolving power, but hardly to get distance information. Ultrasonic only detect objects that are in very short distances. Therefore, it is necessary to have a technique that can clearly distinguish the objects and get the object information such as speed and distance at medium-range (100-m) for autonomous driving scheme entering level 4 and level 5. The existing light technology in the autonomous driving is to place the Lidar module on the roof of a car and perform environment sensing in a rotating manner. Such technology has low sensing capability and is not conform to the development direction of the vehicle industry that not fulfill the demand of autonomous car. In contrast to Lidar module on the roof, placing the Lidar on the front of the car has many advantages, such as easy to collect dust, suffer water corrosion and difficult to set up the electrical system. Integrating the Lidar with headlight system is a feasible direction to solve the aforementioned problems. In this study, we will develop laser headlights system with Lidar module by integrating the optical system of Lidar into headlight a unit, in which the smart laser headlight was achieved by feedback control orders system. The laser headlight will focus on the development of smart headlights with laser as the light source. With the feedback of the system, it can control the car's light field, avoid high-reflection areas at night. The integrated Lidar module will develop a quasi-static optical scanning system with a wavelength of 1550 nm and embed it in the optical path of the laser headlight. By wavelength differences, the optical path of Lidar does not interfere with headlight and high quality optical data could be obtained. Despite adapting 905 nm as optical wavelength in the current technology, the 1550 nm wavelength selected by this study meets the safety regulations and will not cause damage to the human eye at night or during the day. In this study, we will develop a Lidar module attached to a 10W laser headlight for autonomous driving. The simulation and optical performance of integration of Lidar module with laser headlight will be presented.
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激光雷达与激光前照灯集成用于自动驾驶(会议报告)
激光雷达、雷达、光学成像和超声波是自动驾驶领域重要的环境传感技术。其中,雷达可以进行远距离传感,但受分辨率限制,无法分辨物体。光学图像具有清晰的物体分辨力,但难以获取距离信息。超声波只能探测到距离很近的物体。因此,对于进入4级和5级的自动驾驶方案,需要有一种能够清晰区分物体,并在中程(100米)范围内获取速度、距离等物体信息的技术。现有的自动驾驶中的光技术是将激光雷达模块放置在车顶上,以旋转的方式进行环境感知。这种技术的传感能力较低,不符合汽车工业的发展方向,不符合自动驾驶汽车的需求。与安装在车顶的激光雷达模块相比,将激光雷达安装在汽车前部有很多优点,比如容易积尘、不易被水腐蚀、不易设置电气系统。将激光雷达与前照灯系统相结合是解决上述问题的可行方向。在本研究中,我们将激光雷达的光学系统集成到前照灯单元中,开发具有激光雷达模块的激光前照灯系统,其中智能激光前照灯通过反馈控制命令系统实现。激光大灯将重点发展以激光为光源的智能大灯。通过系统的反馈,可以控制汽车的光场,避开夜间的高反射区域。集成激光雷达模块将开发波长为1550 nm的准静态光学扫描系统,并将其嵌入到激光前照灯的光路中。利用波长的差异,激光雷达的光路不会对前照灯产生干扰,可以获得高质量的光学数据。尽管目前的技术采用905nm作为光波长,但本研究选择的1550nm波长符合安全规定,在夜间和白天都不会对人眼造成伤害。在这项研究中,我们将开发一个连接在10W激光大灯上的激光雷达模块,用于自动驾驶。介绍了激光雷达模块与激光前照灯集成的仿真及光学性能。
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