How Do Autonomous Vehicles Navigate?
2 Answers
Autonomous vehicles primarily rely on GPS positioning systems and onboard infrared sensors to determine direction. Key knowledge about autonomous vehicles is as follows: 1. Composition of autonomous vehicles: Autonomous vehicles are a type of smart car, also known as wheeled mobile robots, which mainly depend on onboard computer systems and intelligent autopilots to achieve autonomous driving. 2. China's first autonomous vehicle: China began researching autonomous vehicles in the 1980s, and the National University of Defense Technology successfully developed China's first truly autonomous vehicle in 1992. 3. Autonomous parking system of autonomous vehicles: The automatic parking system is a major achievement in autonomous driving technology. Through this system, the vehicle can observe the surrounding environment like a driver, react in time, and safely travel from point A to point B.
Self-driving cars primarily rely on a multi-sensor fusion system to determine direction. I can tell you these vehicles basically use GPS positioning to establish approximate location and high-precision maps for route navigation. Imagine it like us driving while looking at navigation maps, but smarter: GPS provides global coordinates, but isn't precise enough alone, so the car also uses an Inertial Measurement Unit (IMU) to track steering acceleration and directional changes, avoiding signal loss in tunnels or urban canyons. Additionally, LiDAR and cameras scan the surroundings in real-time, recognizing road signs and lane markings to fine-tune the path. The onboard computer processes this data hundreds of times per second, integrating cloud map updates to ensure the car always knows where to go. While it sounds complex, it's essentially the car mimicking how our brain combines eyesight and senses to judge direction—just with greater precision.
