Core technologies and solutions--Lower the cost of transportation
The driver's behavior and feedback are introduced into the calculation loop by using the enhanced intelligent driving technology of human in loop, which makes the driver and enhanced intelligent driving system closely coupled, adapt to each other and work together to form a two-way information exchange and control mechanism. The intelligent vehicle terminal collects the driving behavior of drivers in various environments, calculates and uploads the data to the central computer cluster. After the cluster obtains the data, it uses the deep learning algorithm for calculation. Through the intelligent processing mode combining edge computing and central computing, it finally forms an intelligent computing model integrating the perception, decision-making and response of the best driver groups.
HQNN, a self-designed deep learning framework for commercial vehicle assisted driving, has excellent computational performance and high recognition accuracy. A large number of training using a great quantity of accumulated commercial vehicle video data greatly optimize the recognition accuracy. Based on this framework, HopeChart has developed a series of products such as advanced assistance driving (ADAS), driver monitoring system (DMS) and blind spot detection system.
In view of common problems of special operation vehicles, such as overloading, speeding, not driving according to the supervision line, not loading and unloading in the designated area and throwing dust along the way, the company independently developed the intelligent perception and active intervention technology of special operation vehicles. Combined with the ability of artificial intelligence technology to collect and process images and videos, as well as the torque monitoring technology, Beidou Positioning Technology and engine active intervention technology formed by years of understanding of special operation vehicles, it integrates video sensing, main line sensing and engine control to realize intelligent perception of vehicles and actively intervene in recognizable hazards.
Hopechart’s plotform, HQEC2, has the characteristics of high availability, high scalability, high concurrency, high security, low latency and low cost. The Cyber-Physical Systems (CPS) based on HQEC2 has been successfully applied to large commercial vehicle factories in China. Through the collection, processing and analysis of online operation vehicle data, the platform feeds back to the vehicle factory research and development, design, procurement, production, sales and after-sales links, effectively improve the vehicle design level, improve the quality of parts, optimize the sales strategy, and improve the real-time and accuracy of after-sales. Furthermore, the platform provides a data base for "automobile after service" such as commercial vehicle insurance, vehicle loan and logistics, and improves the ecological chain of traditional manufacturing industry.
Driver Monitoring System
Based on advanced artificial intelligence technology, the driver's bad driving behaviors are reminded, warned or intervened
Blind Spot Detection System
The blind spot detection system of special operation vehicle, based on the deep learning algorithm of a large number of video image training, can accurately identify the blind spot of special operation vehicle
Advanced Driver Assistant System
Based on video image analysis, lane deviation, front vehicle anti-collision, traffic signs and traffic warning signs are identified and warned
Carriage Recognition System
The deep learning algorithm based on the training set of a large number of images of muck trucks can accurately identify whether the top cover is closed or not and the loading condition of the cargo compartment
Automotive electronics related core technologies
With mature automotive electronic software and hardware design capabilities, mature vehicle data acquisition, analysis, compression and encryption technology
Big data and cloud storage
The cloud platform is mainly composed of distributed access layer, distributed file system, multi-dimensional database based on shared nothing architecture and distributed computing framework. It has the characteristics of high availability, high scalability, high concurrency, high security, low delay and low cost
Hangzhou HopeChart IoT Technology Co., Ltd. is looking for long-term strategic partners to seek further development and share the development dividend of the Internet of vehicles industry.