Military Technology

Under the leadership of the leader, the crowd applauded. A general at the scene was still a little skeptical about this, and immediately stepped forward to try to raise the pressure, but he exerted a lot of strength, but still did not raise it.

Seeing the general's blushing face, everyone at the scene laughed knowingly.

Finally, due to limited time, Wu Hao chose to show a military-grade autonomous driving system.

Leading the leaders and everyone to the military-grade autopilot system exhibition area, Wu Hao introduced the Mengshi army lane equipped with their autopilot system to the leaders.

The Mengshi military vehicle in front of you has been equipped with our military-grade automatic driving system. The appearance of the entire military vehicle has not changed much. We mainly equipped the relevant sensors on the roof beam above the windshield. . Here, you can have a better view and avoid being bumped by rocks and trees when off-road.

In addition to this group, we are equipped with a group of sensors on both sides of the car body and the rear of the car, so it can perceive the 360-degree panoramic environment data information around the vehicle. With that said, Wu Hao gestured to a staff member next to him, and saw a large screen next to the vehicle showing the surrounding image data information sensed by the sensors of the autopilot system on the vehicle.

The first is a panoramic image, and then the entire color becomes black and white, and then there are countless dense dot matrix clouds. Then the whole picture is modeled to form a three-dimensional graphic picture.

"Through the high-speed lidar we carry on the car, we can scan and perceive the surrounding tiny objects very accurately and finely, even if it is an iron nail or a leaf, it can be accurately perceived. The scanning frequency of hundreds of times per second can accurately detect any high-speed moving object, even a bullet.

Therefore, with this on-board environment perception detection system, we can equip this autonomous vehicle with an active defense system on this basis. That is to say, with its powerful performance, we can intercept some incoming missiles, rockets and other attacks, greatly improving its battlefield survivability. "

Speaking of this, Wu Hao paused for a while, and then said again: "We know that the current civilian autonomous driving technology, in addition to the vehicle detection and perception system, also relies on accurate maps and satellite navigation data.

In addition, it also has a very hard condition, that is, there must be a perfect road system. That is to say, it can only drive on a perfect road system. Once it is separated from this road system, its automatic driving system will fail.

None of this is a problem for civilian vehicles, as their main counterparts are on the road. But for military vehicles, this is obviously not acceptable. In war, the enemy will not make a move. You have a complete road system to provide blood transfusion and support on the battlefield, so the road must be the focus of the opponent's first attack.

At this time, the civilian automatic driving system will lose its function, so if we want to equip the military vehicle with the automatic driving system, then we must solve this road problem.

That is to say, in addition to autonomous driving on paved roads, our autonomous driving system must also be able to pass on dirt roads, even if there is no road. The focus to achieve this goal is on the vehicle environment perception detection system.

To put it bluntly, we must have enough bright and sharp eyes to be able to perceive the surrounding environment information, to provide direction guidance for our vehicles, so as to avoid some roadblocks and find a suitable travel route.

To this end, we have specially set up a technical research team to conduct research and technical improvement on software and hardware technologies in this area. In the end, with our efforts, we have achieved thousands of technological innovations in this field, which is why we have such a precise vehicle environment perception system.

With the environmental perception detection system, we also have to have a matching on-board intelligent driving system. To put it bluntly, we need to let the vehicle learn how to deal with various road conditions. In addition to some of our technical accumulation, it also requires a large amount of data for learning and training.

In this regard, I would like to thank the military for their support. With their help, we have collected the data of military vehicle driving in various regions of the country under the terrain and climate environment, refined the data, and then conducted analysis, learning and training. The in-vehicle autopilot system learns the driving experience of excellent drivers in the military and the ability to handle complex road conditions little by little, so that it can grow step by step, learn and adapt to the autonomous driving ability in various terrains. "

Having said that, Wu Hao gestured to the staff, and then introduced to the leaders and everyone: "Next, we will show you a test record video of our automatic driving system."

During Wu Hao's introduction, the test recording video on the big screen was also played.

Please see, this is a test video of our military-grade autopilot system. In the picture, the car will undergo a 300-kilometer autonomous driving new performance test project.

During the whole test process, except for the paved road ahead, for safety reasons, we have personnel sitting in the driver's seat, ready to take over the vehicle at any time to avoid unsafe accidents. There were no people in the car on other sections of the road.

During the whole test process ~www.readwn.com~ we do not allow manual intervention. Once manual intervention, it means that the test fails.

Please see, we will issue instructions to the in-vehicle autonomous driving system through the remote control system to formulate its destination.

"Note that this destination is not the exact location information we already know, but a satellite positioning coordinate, that is, latitude and longitude information. The autopilot system needs to independently plan the travel route according to the latitude and longitude information of the destination, and then select the most Drive on the best route.

We can see that 30% of the route it planned is paved, 40% is dirt road, and the remaining 30% is off-road traffic in the state of no road. . "

What conditions did this route plan and choose based on? An expert present asked aloud. Obviously, he is also very interested in this self-driving system.

According to the conditions set by our rear command center, it is planned and selected by synthesizing the data information of the satellite map and the terrain information of the digital map. The system analyzes terrain and climate information for the area it passes through. For example, this terrain is steep and dangerous to drive, but the distance is close. The system will make trade-offs and risk driving if time is of the essence.