Algorithms and Filters Used in Self-Driving Technology

<h2>Introduction</h2> <p>Self-driving technology is a complex field that relies on algorithms and filters to interpret sensor data, make decisions, and control the vehicle. In this section, we will explore the different types of algorithms and filters used in self-driving technology, explaining them in layman&rsquo;s terms.</p> <h2>Perception Algorithms</h2> <p>Perception algorithms are used to identify objects in the vehicle&rsquo;s surroundings. These algorithms rely on sensor data from cameras, lidar sensors, radar sensors, and other sensors. The data is processed using machine learning algorithms to identify objects such as other vehicles, pedestrians, and road signs. The algorithms can recognize patterns in the sensor data, allowing them to distinguish between different objects.</p> <p><a href="https://medium.com/@autodriveai/algorithms-and-filters-used-in-self-driving-technology-196b8bcef92"><strong>Visit Now</strong></a></p>