A brief discussion on the perception solution for autonomous driving BEV

In the application of high-level autonomous driving functions, the vehicle's intelligent driving system must be able to solve corner cases, that is, extreme scenarios that are rare but cannot be completely avoided. There are fewer data samples for these scenarios, and once the model cannot be effectively identified, serious safety accidents may occur. Some time ago, Baidu released a very hard-core content in the assisted driving section of the Create conference, which may effectively solve corner cases, the vehicle-road integrated BEV perception solution-UniBEV. BEV autonomous driving perception is like a "God's perspective" that takes in the overall situation from a high altitude, projecting three-dimensional environmental information onto a two-dimensional plane, and displaying objects and terrain in the environment from a bird's-eye view. In terms of path planning, obstacle detection, and autonomous driving decision-making, BEV perception has demonstrated its unique advantages.

UniBEV, a vehicle-road integrated BEV sensing solution

Path planning: BEV perception can simplify complex road information into a series of path points, making path planning simpler and more accurate.

Obstacle Detection: BEV perception can clearly display obstacles around the vehicle, including vehicles, pedestrians, road signs, etc., making obstacle detection and identification more accurate.

Autonomous driving decision-making: BEV perception can provide comprehensive environmental information to the autonomous driving system, helping the system make more intelligent decisions.