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Car change news? On September 5th, Shanghai —— At the 2022 WAIC World Artificial Intelligence Conference, Shangtang Technology, the world's leading artificial intelligence software company, released the SenseAuto V2X Shang Tang Ghost Vehicle-Road Collaborative Platform, which is dedicated to creating an integrated analysis and decision-making scheme of "smart car+smart road+collaborative cloud", processing and analyzing the information at the vehicle end and the road end, realizing the integrated decision-making control of "vehicle-road-cloud" and building more.

In terms of vehicles, in addition to the rich matrix of the SenseAuto RoboX series of self-driving vehicles, the SenseAuto V2X-I Checheng network platform also builds a Checheng network mobile sensing source Internet of Things platform through lightweight computing equipment to create a mobile eye of the city; On the roadside, V2X-E intelligent roadside products can realize the global perception of God's perspective and make up for the blindness of bicycles; In the cloud, V2X-M intelligent computing platform can collect and calculate data, and control vehicles in the cloud through V2X-C cloud control platform, so that bicycles can obtain the optimal decision in the overall situation. From the value creation on the vehicle side, to the intelligent perception on the road side, and then to the intelligent cognitive decision-making in the cloud, SenseAuto V2X Shang Tang Jueying Vehicle-Road Collaborative Platform further improved the layout of Shang Tang Jueying Intelligent Vehicle Platform, and also built an effective support platform for the landing and promotion of vehicle-road collaboration.

At present, the country is vigorously promoting the cooperation between vehicles and roads from demonstration areas to cities, and gradually realizing large-scale promotion and commercial deployment, thus promoting the "double-intelligence cooperation" development of smart city infrastructure and intelligent networked vehicles. Adhering to the development concept that "smart city and smart car will be each other's infrastructure", the release of SenseAuto V2X Shang Tang Jueying Vehicle Road Collaborative Platform can not only empower bicycle intelligent decision-making, but also effectively tap the value of on-board sensor data, empower smart city management, provide platform-level solutions for the construction and development of dual smart cities, and finally build safe, cost-controllable, low-carbon convenient travel services and urban operation capabilities.

Vehicle-road cooperation empowers bicycle wisdom perception and realizes the overall optimal decision of urban traffic.

Globally, there are as many as 500,000 traffic accidents caused by blind spots of motor vehicles every year. In recent years, despite the rapid development of autonomous driving technology, the limited sensor configuration is not enough to bring the overall perception ability of bicycles without dead ends, and the safety hazards caused by blind spots still exist. Adding more sensors will inevitably lead to a sharp increase in the cost of bicycles and hinder the popularization of autonomous driving technology. It is a safer and more economical way to "open your eyes" for bicycles through roadside perception.

Based on multi-sensor fusion sensing technologies such as lidar, camera and millimeter-wave radar, Shang Tang Jueying vehicle-road collaborative intelligent roadside products can endow roadside infrastructure with global sensing capability. With the industry-leading 300-meter, 8-lane sensing range, 95% radar fusion sensing accuracy, centimeter-level and 150ms-level temporal and spatial accuracy, V2X-E roadside platform can act as a "traffic commander", open a "God's perspective" for vehicles, supplement and avoid more than 99% bicycle blind spots, and issue more than 70 cooperative applications to vehicles in real time, so that bicycles can also be used in complex environments. The supplement of roadside capacity can further reduce the cost of intelligent networked bicycles and make large-scale construction and commercialization possible.

Roadside perception can help bicycles to achieve the optimal decision, but to achieve the global optimization of the whole city traffic, cloud fusion analysis and collaborative control are needed. Through the combination of Shang Tang Jueying vehicle-road collaborative intelligent computing platform and cloud control platform, the global traffic data aggregation and decision-making scheduling are carried out in the cloud, and the global optimal decisions are given for various problems such as road congestion, low traffic efficiency at intersections, unreasonable traffic organization, chaotic traffic order and frequent traffic violations.

Among them, the intelligent computing platform can aggregate and analyze roadside traffic data in the cloud for cognitive decision-making and other big data processing. It has 100 algorithm library, covering the requirements of vehicle-road coordination full-object full-scene algorithm, and the video analysis of ten thousand roads ensures that there is no blind spot in urban traffic. The cloud control platform has created more than 65,438+00 intelligent networked automobile applications, such as path guidance, speed suggestion and carbon emission optimization. To ensure the safe driving of self-driving vehicles for one million kilometers, significantly reduce the average delay and empty green light of vehicles at intersections, and bring more than 20% efficiency improvement.

At present, the SenseAuto V2X Shang Tang Jueying Vehicle-Road Collaborative Platform is gradually landing in the national vehicle networking pilot demonstration zone, closed parks, expressways and urban traffic management scenarios, which helps traffic management services, makes efficient decisions and improves efficiency and safety.

Vehicle-road collaboration empowers urban smart management, and RoboX creates a mobile intelligent perception source.

For a long time, the intelligent management of cities mainly relies on fixed sensing units, which is not only costly, but also unable to completely cover road diseases. As the perception source of motion, the perception data generated by automobile is much higher than other devices in volume and mass. The V2X-I car city network platform launched by Shang Tang Jueying this time, by installing lightweight intelligent sensing equipment at the car end, cooperating with the cloud control platform and Shang Tang's leading desensitization algorithm, can effectively tap the value of on-board sensing data on the basis of ensuring data security, make cars "the eyes of the city" and effectively reduce the input cost of urban management.

In order to expand the capacity space of the city through the coordination of vehicles and roads, Jueying also launched the SenseAuto RoboX series of self-driving cars, creating broader value for urban traffic management, logistics and transportation, and travel services. At this WAIC, Shang Tang self-driving sweeper SenseAuto RoboSweeper made its debut, equipped with professional chassis cleaning, which can use AI technology, multi-sensor 360-degree perception fusion and no dead angle. With the support of the cloud control platform, the self-driving sweeper can realize unattended cleaning operation without manual intervention, which is safe, efficient and economical. In the future, it will first be demonstrated and applied in airports, park properties, municipal roads and other scenes.

SenseAuto Robobus, located in urban micro-circulation bus, has perfect L4 automatic driving function and safe driving ability, and can realize safe, reliable and comfortable automatic driving function under complex traffic environment and weather conditions on open roads. At present, Shang Tang Jueying self-driving minibus has landed in Shanghai, Wuxi, xi, Chengdu, Fuzhou and other five cities, covering airports, parks, municipal roads and other scenes. Under the blessing of vehicle-road coordination, minibuses have been iteratively upgraded in terms of global perception and global traffic coordination.

The coordinated construction of vehicles and roads requires a lot of infrastructure investment, which has become an important challenge for large-scale landing. As an artificial intelligence software company, Shang Tang Jueying, with the support of SenseCore and Tang Ai's powerful computing power, realizes the fast iteration of the algorithm with efficient closed-loop data, and promotes the continuous upgrade of the "car-road-cloud" terminal capability through OTA, realizing "one-time hardware investment and continuous software upgrade". Shang Tang Jueying reduces the marginal cost of hardware infrastructure through software definition, so that vehicle-road cooperation can achieve large-scale landing with lower cost and higher efficiency.

Moreover, with the help of the full-stack technology system developed by Shang Tang, Shang Tang Jueying Vehicle-Road Collaborative Platform can not only provide standardized product solutions, but also realize modular assembly of building blocks. Shang Tang Jueying is actively cooperating with partners in different fields to achieve win-win results, meet the application needs of different customers, provide flexible solutions for the high-quality development of Shuangzhi City, and build a safer, more efficient and more convenient future urban transportation.