Zhou Hongyi: Tesla FSD questioned the pure vision scheme after it hit the train

Recently, the accident of a Tesla car hitting a train after turning on the automatic driving function in the United States has aroused widespread concern, and also triggered a discussion about whether there are defects and drawbacks in the pure vision scheme of automatic driving. Zhou Hongyi, Chairman of 360 Group, expressed his unique views on this.

Zhou Hongyi once very much agreed with Musk's concept of automatic driving, and believed that machine artificial intelligence should see the surrounding environment as accurately as the human eye. Therefore, he firmly supported the use of pure vision solutions, and believed that the cost of such solutions was relatively low.

However, in the recent accident, Zhou Hongyi began to question the pure vision scheme. It is reported that this Tesla car has enabled the FSD automatic driving function and accidentally collided with a train when passing a railway crossing. Fortunately, the owner found the danger in time and turned the steering wheel urgently to avoid the tragedy.

Tesla said that heavy fog will affect the performance and accuracy of FSD, thus interfering with its normal automatic driving function. However, Zhou Hongyi believes that in the actual driving process, even if there is fog, the presence of danger will not always be perceived. He further pointed out that even human drivers could not guarantee 100% safety in rainy and snowy weather.

Therefore, Zhou Hongyi believes that carrying more sensors on the vehicle is a more efficient and safe choice. He renewed some doubts about the pure vision scheme and suggested adding other more advanced sensors to improve the performance of the whole system.

In general, this incident triggered people's concern and reflection on the safety of automatic driving technology. Although the pure vision scheme seems feasible and economical at this stage, we still need to realize that this technology still has limitations and blind spots. Only through continuous optimization and improvement can we ensure the safety and reliability of intelligent travel in the future.

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