What is the difference between autonomous lane changing and lane changing?
2 Answers
Here is an introduction to the difference between autonomous lane changing and lane changing: 1. Purpose: Autonomous lane changing is mainly for overtaking. When passing a stopped vehicle, pay attention to observation, stay alert, and maintain a large lateral distance, always being prepared for emergency braking to prevent the vehicle from suddenly starting and entering the lane, causing a collision, or the driver suddenly opening the door and getting out; lane changing is not necessarily for overtaking. 2. Danger: Autonomous lane changing is a relatively dangerous behavior that is unavoidable while driving. If obstacles on the left side of the road or insufficient lateral spacing pose a risk of collision, avoid using emergency braking to prevent side-slip collisions due to road camber. Instead, stabilize the steering wheel without turning it left or right, create an appropriate distance in the shortest time, and then look for an opportunity to overtake. Never take the risk of forcing an overtake; lane changing is relatively less dangerous.
Having driven for so many years, from manual transmissions to today's smart cars, I clearly understand their differences. Changing lanes is usually a process where I turn on the indicator, check the rearview mirror, confirm there are no cars behind me, and then steer over—completely controlled by me at every step. This tests driving habits and attention, especially when changing lanes in traffic to avoid hitting others or scraping the guardrail. In contrast, autonomous lane changing is handled by the car's tech features, like my car's ADAS system. It scans the road with cameras and radar, and if it deems it safe, it automatically helps me steer and change lanes without my input. Sounds cool, but honestly, in complex weather like rain or fog, it can mess up. Once, it almost misjudged a merge and got honked at by the car behind, so now I only dare to use autonomous lane changing on empty highways to save effort. Overall, one relies on accumulated experience, the other on machine smarts, but in the end, it's still my human brain that ensures safety.
