Military Technology

【Revision】

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

Leading the leaders and everyone to the military-grade autonomous driving system exhibition area, Wu Hao introduced to the leaders the Warrior military vehicle equipped with their autonomous driving system.

"The Warrior military vehicle in front of you is already equipped with our military-grade autonomous driving system. The appearance of the entire military vehicle has not changed much and remains the original model. We mainly equip the relevant sensors on the windshield. Above the roof beam. Here, you can have a better view and avoid being hit by rocks and trees when off-road.

In addition to this set of sensors, we are equipped with a set of sensors on both sides of the car body and behind the car. Therefore, it can sense 360-degree panoramic environmental data information around the vehicle. "As he spoke, Wu Hao gestured to a staff member next to him. A large screen next to the vehicle displayed the surrounding image data sensed by the vehicle's autonomous driving system sensors.

The first thing was a panoramic image, then the entire color changed to black and white, and then there were countless dense dot cloud images. Then the entire picture is modeled to form a three-dimensional graphic picture.

"Through the thousands of laser radars we carry on the car, we can scan and sense the surrounding small objects very accurately and finely. Even if it is a nail or a leaf, it can accurately sense it. With a scanning frequency of hundreds of times per second, any high-speed moving object can be accurately detected, even a bullet.

Therefore, with this vehicle-mounted environment perception and detection system, we can equip this autonomous vehicle with an active defense system on this basis. In other words, 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 briefly, and then said again: "We know that the current civilian autonomous driving technology, in addition to the on-board detection and perception system, also relies on accurate maps and satellite navigation data.

In addition, it also has a very rigid condition, that is, it must have a complete road system. In other words, it can only drive on a complete road system. Once it breaks away from this road system, its automatic driving system will fail.

For civilian vehicles, these are not problems because their main companion scenes are on the road. But for military vehicles, this is obviously not possible. In a war, the enemy will not sit back and watch as we have a complete road system to transfuse blood and provide support for the battlefield, so roads must be the focus of the opponent's first attack.

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

In other words, in addition to autonomous driving on paved roads, our autonomous driving system also needs to be able to drive on dirt roads, even in an environment where there is no road. The key to achieving this goal lies in the vehicle-mounted environment perception and detection system.

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

To this end, we have specially set up a technical research team to conduct research and technical improvements on software and hardware technologies in this area. In the end, with our efforts, we achieved thousands of technological innovations in this field, and this resulted in such an accurate vehicle environment sensing system.

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

In this regard, we would like to thank the military for its support. With their help, we collected military vehicle driving data information under the terrain and climate environment of various regions in the country. This data information is refined, and then analyzed, learned and trained, so that the vehicle-mounted autonomous driving system can learn bit by bit from the driving experience of outstanding military drivers and their ability to handle complex road conditions. This enables this intelligent driving system to grow step by step and learn and adapt to autonomous driving capabilities in various terrains. "

With that said, 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 autonomous driving system."

During Wu Hao's introduction, the test record video on the big screen also started playing.

"Everyone, please take a look. This is a test video of our military-grade autonomous driving system. In the picture, the car will undergo a three-hundred-kilometer autonomous driving new capability test project."

During the entire test, except for a small section of paved road in front, for safety reasons, we had people sitting in the driving seat, ready to take over the vehicle at any time to avoid unsafe accidents. There are no people in the car on other sections of the road, and the autonomous driving system controls the vehicle independently.

During the entire testing process, we do not allow manual intervention. Once manual intervention occurs, the test fails.

We use the remote control system to issue instructions to the vehicle's autonomous driving system and determine 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 real battlefield is not like the city, which has precise location information. Therefore, the vehicle-mounted autonomous driving system needs to be based on the purpose You can use the longitude and latitude information of the place to plan your travel route independently, and then choose an optimal route for driving.

We can see that 30% of the route it planned is paved, 40% is dirt road, and the remaining 30% is off-road travel in a roadless state. . "

"Under what conditions was this route planned and selected?" an expert present asked. Obviously, he is also very interested in this autonomous driving system.

"Based on the conditions set by our rear command center, and then integrating the data information of the satellite map and the terrain information of the digital map for planning and selection. The system will analyze the terrain and climate information of the area it passes. For example, the terrain is steep and the driving Dangerous, but the distance is short and the distance is close. The system will weigh it. If the rear command center issues an emergency order and the materials need to be transported to the front line as soon as possible, then in the case of time emergency, the system will weigh the pros and cons and risk driving through. If Without such an emergency order, the vehicle will choose an optimal route with good road conditions, easier passage, and a relatively short time."