Is Tesla's "ghost catcher" a technical loophole, or is there really a supernatural creature?

Do you believe in ghosts in this world?

Believe it or not, ghosts do exist, because Tesla successfully "captured" them in an uninhabited cemetery.

The evidence comes from a man on Tik Tok, who sent a video saying that his Tesla was driving in an unmanned cemetery, and the driver monitoring system showed that there was someone in the right front of the vehicle! Still shaking! As the car continues to move forward, there is more than one "ghost" around the car, which is creepy.

Coincidentally, Tesla's "haunted" incident happened more than once or twice. On February 15, the owner of Tesla in Xiamen, Fujian Province uploaded a video. It lasted more than ten minutes after driving its own Tesla into the tunnel. The screen shows that there is a bus at the right rear of his vehicle, but there is actually no vehicle around.

As materialistic science and technology practitioners, we certainly don't believe in "ghosts", so this video obviously can't be true. So what caused this situation in Tesla?

One of Tesla's core selling points and one of its highly sought-after advantages is its autonomous driving technology. Tesla claims that around its vehicle, eight surround cameras are used, supplemented by 12 ultrasonic sensors and a front radar, forming its own complete detection system. It can match the speed of the car with the traffic conditions on the road, detect road signs and traffic lights, and automatically slow down. At the same time, when it detects a vehicle or obstacle that may collide with the car in front, it can also step on the brake accordingly.

The millimeter wave radar used in Tesla detection system can detect many types of reflectors, including iron fences, manhole covers, vehicles, pedestrians, garbage bins, roads and so on. And filter out static objects through some filtering methods. In other words, as long as the moving target has enough reflection intensity, it can be detected.

However, from the current technical point of view, millimeter-wave radar can't distinguish whether the detected object is a moving person, a moving animal or a moving "ghost", that is to say, all the information obtained by radar can't be accurately classified. So the "ghost" in the video may have two explanations. One is that as long as the detector detects an echo similar to a person, it is considered to be a person, which belongs to false detection. The other is: with the help of the camera, the visual algorithm classifies and determines whether the detected person is a human.

Then, when people or other living animals are invisible to the naked eye, how can the detector judge what objects are people? We believe in science, and at the same time we absolutely respect faith. We have to admit that there are many imperfections in modern technology, and there are some loopholes in Tesla's detection system, or there may be supernatural creatures that humans have not yet realized, and we have no way of knowing. Then, relying on the existing technology, is there any way to solve the technical loopholes, or to distinguish between natural creatures and supernatural creatures?

From a technical point of view, can the vulnerability of Tesla detection system be compensated by other sensors to reduce false detection? According to the analysis of experts in the field of sensor technology, the use of infrared thermopile sensors may help Tesla to make up for the false detection of pedestrians in the detection system.

If the infrared thermopile sensor is used as compensation in Tesla's detection system, the temperature of the object can be detected at a long distance, and whether the detected object is human or other creatures can be quickly judged according to the preset difference between the human body temperature and the animal temperature or other biological temperatures.

Tell a joke, maybe Tesla with infrared thermopile sensor can become a real "ghost catcher" and help us detect the temperature of "ghost". It is also exciting to drive such a car at night and have an intimate exchange with supernatural beings.

In fact, the technology of infrared thermopile is not uncommon. For example, the most common frontal temperature measuring gun and thermometers during the epidemic are mostly infrared thermopile sensors. Its technical principle is to measure the temperature from a distance by detecting the infrared (IR) energy of the object. The higher the temperature, the more infrared energy is emitted. This non-contact human body temperature detection technology plays a vital role during the epidemic. It only takes 1-2 seconds to screen the body temperature of migrant workers, and at the same time, it can reduce contact and take rapid measures for those with abnormal body temperature.

With the rapid development of Internet of Things, artificial intelligence and 5G technology, we have reason to believe that in the next ten to twenty years, the automobile industry will also undergo earth-shaking changes, and driverless driving will also change people's travel and lifestyle. In the realization of driverless cars, sensing technology occupies an absolute position, and sensing technology will also play an extremely important role in the application of driverless cars in the future.

Accurate GPS positioning system;

High-precision body positioning system is a prerequisite for driverless cars, including high-precision maps, positioning, perception, intelligent decision-making and control modules. Driverless cars must have the highest requirements for GPS positioning accuracy and anti-interference.

GPS navigation system requires that the positioning error should not exceed one car body width, so it puts forward very strict requirements for the sensing technology used by vehicles. Current sensor technology can meet this requirement, but with the development of driverless technology, future sensors will play a more valuable role in this field.

Dynamic sensing obstacle avoidance system;

Driverless cars not only require extremely high positioning accuracy, but also ensure the safety of passengers as cars. This requires strict control of its driving direction and speed. Secondly, the car is big, especially in the complex and crowded traffic environment. In order to drive smoothly, there is a high demand for obtaining dynamic information of surrounding obstacles.

Traditional millimeter wave radar, laser radar, binocular vision sensor, ultrasonic sensor, infrared ranging sensor, laser ranging sensor, photoelectric diffuse reflection sensor, visual sensor, etc. Both of them are applied to the obstacle avoidance system of automobiles. Many research teams of driverless cars at home and abroad detect dynamic obstacles by analyzing laser sensor data. In the future, more and more accurate sensing technologies will be applied to driverless cars.

It can be said that the future car itself is a large walking sensor. In addition to unmanned vehicles, sensors have already penetrated into all aspects of our lives, and modern human life has also been inseparable from the intelligence and convenience brought by sensors.