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according to fast technology on august 30, xiao yong, deputy general manager of gac aion, recently expressed his views on current intelligent driving.

xiao yong said that in the next three to five years, it is still too early to conclude whether lidar will be used for high-level intelligent driving or even unmanned driving.

however, at the current stage, especially in the past two or three years, xiao yong believes thatif car companies want to create reliable, secure and intelligent driving, lidar is absolutely indispensable.

xiao yong also emphasized that at this stage, intelligent driving without lidar is not good intelligent driving.

at present, many car companies are turning from lidar-based intelligent driving to pure vision.

pure vision intelligent driving systems mainly rely on cameras to perceive the surrounding environment. compared with systems equipped with sensors such as lidar and millimeter-wave radar, pure vision systems have the following advantages:

1. cameras are generally less expensive than other types of sensors, such as lidar, which helps reduce overall vehicle cost.

2. cameras can capture rich visual information, including color, shape, texture, etc., which is very useful for understanding complex road environments and performing accurate object recognition.

3. the camera can be easily integrated into the existing structure of the vehicle, without the need for large-scale modification of the vehicle.

4. the performance of pure vision systems depends heavily on advanced image processing and machine learning algorithms, which prompts developers to continuously optimize software and improve the intelligence level of the system.

5. with the development of deep learning technology, pure vision systems can continuously improve performance through software updates and have good scalability.

but,pure vision systems also have some challenges, such as performance may be affected in extreme weather conditions and the accuracy requirements of the algorithm are very high.

therefore, many automakers and technology companies are researching hybrid systems that combine pure vision systems with other sensor data to improve the overall performance and safety of intelligent driving.