Playground for Autonomous Racing — Part 5
<p>Before we can determine the best way to guide our vehicle, we must first establish a means of comprehending the environment surrounding it. In the real world, a variety of sensors assists the vehicle in “seeing” its surroundings. A common method involves utilizing LiDAR to create a detailed 3D depth map. On the other hand, Tesla pursues a “pure vision” approach, making decisions based on camera images.</p>
<p>Given that the primary goal of this project is to let anyone try to program an autonomous driving car without much prerequestise knowledge barriers. We will skip those low-level image processing or recognition tasks. Instead, users will have direct access to processed information, such as object distances. Therefore, in this section, we’ll begin constructing the distance sensor for our car.</p>
<p><a href="https://medium.com/@kelvinkoko/playground-for-autonomous-racing-part-5-981e1f28809d"><strong>Read More</strong></a></p>