LiDAR systems and ToF techniques are critical to providing self-driving cars with a detailed picture of the surrounding and is used in many research applications as well.
Many of the major automobile vendors, along with well-known non-auto companies such as Google, are devoting major resources to developing autonomous vehicles (often called “self-driving cars”). These vehicles obviously need to see where they are going. Doing so requires more just a photo-like flat “snapshot” of the surroundings, and even using two cameras in a “stereo” mode would also fall far short in providing the image detail, resolution, and precision needed. Instead, these vehicles need a detailed, quantifiable three-dimensional (3D) picture of their surroundings.
The solution is not to use conventional radar, optical, or ultrasound detection and ranging with a basic transmit/receive echo arrangement (recall that radar is an acronym for radio detection and ranging). Instead of RF or acoustic wavelengths with their limited resolution, LiDAR (sometimes written as lidar, or even LIDAR) uses laser- or LED-generated pulses of light. Based on extremely accurate measurements of the time for any reflections to be received, and using a technique called “time of flight” (ToF) ranging, the system can determine what’s in front of and around the vehicle.
The use of LiDAR in cars is not the complete solution to seeing what’s around the vehicle. Autonomous and even semi-autonomous ones need to combine multiple sensing technologies to do what a human driver can do (Figure 1), and the various technologies overlap and complement each other (Figure 2 and Figure 3). The technical reality is that a vehicle needs LiDAR to meet Level 3 of the six-level autonomous-driving scale (previously five-level scale ) as defined by SAE J3016 standard “Levels of Driving Automation”.
Note that LiDAR is not just for autonomous vehicles, with their relatively short-distance imaging needs and modest speeds. It was originally developed several decades ago for applications such as undersea mapping and aircraft/satellite-based geophysical mapping systems. In these cases, it is used to create high-resolution images of the Earth’s surface and structures, to measure ocean levels and waves, and even for guidance in spacecraft docking. It is also used in robotics applications, safety zone monitoring in industrial machinery, traffic monitoring, and security applications.
This article focuses on at the basics of a LiDAR system with an emphasis on automotive designs. It will also look at photon emitters and sensors for LiDAR. It will not discuss the image-processing algorithms which are so critical to making sense of the LiDAR-provided data to create an analog to the human eye, image processing, and decision-making process.
In addition, LiDAR’s adoption to mass-market designs such as cars is having the often-seen beneficial back-and-forth benefit for older, existing applications. On one side, automotive LiDAR is benefiting from the huge base of non-auto experience and understanding developed over the decades. At the same time, the mass market is driving improvements basic components ranging from optical/electronic devices to image processors and their algorithms, and many of these advances are working back into the scientific and instrumentation areas.
Part 2 of this article will look at the basic operation of a LiDAR system.
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