The construction of the city is inseparable from the mud truck, the mud truck is large in size, large in mass, and the blind spot of the vehicle is larger than that of small vehicles, so it is more likely to cause traffic safety accidents than other vehicles.
When the dump truck made a right turn, it collided with an electric vehicle that had entered the blind spot.
The path you thought the cart turned.
In fact, the path of the cart turn.
Therefore, we need to pay attention when driving.
The difference between the front and rear wheels on the turning side of the cart.
i.e. the red zone.
In order to avoid the blind spot problem of the mud truck, Yiwei Zhilian has developed a 360 panoramic surround view blind spot warning system. The system collects high-definition real-time images around the body by installing 4 high-definition night vision wide-angle cameras on the front and rear of the vehicle, and forms a 3D panoramic view around the vehicle through AI visual splicing technology, which is displayed in front of the driver's eyes in real time, and the system has a 4-way BSD function, which can monitor pedestrians, non-motorized vehicles and obstacles in the blind area around the body in real time, implement graded early warning, and timely warning when pedestrians and vehicles are in the risk area. At the same time, sound and light alarms can be installed to remind pedestrians and non-motorized vehicles to pay attention to avoidance.
360 panoramic host model: ZH511B
The 360 panoramic surround view device can reduce the accident rate of blind spots and provide more guarantee for safe driving. Yiwei Zhilian Technology Co., Ltd. is a high-tech enterprise dedicated to the R&D and sales of big data, artificial intelligence, Internet of Vehicles application technology. Through the development of autonomous driving technology for commercial vehicles, vehicle-road collaborative V2X technology, and cloud big data technology, the company has formed vehicles. Road. Cloud-based solution. Its self-developed on-board terminal equipment provides a series of intelligent assistance systems for commercial vehicle driving through deep learning of driving scenarios, establishing algorithm models, collecting driving data, analyzing calculations and intelligent decision-making.