Deepen the research and development of vehicle borne millimeter wave radar, xingyidao presents new products in Deqing

Posted 2025-10-17 00:00:00 +0000 UTC

On October 26, the 5th anniversary and new product launch conference of Beijing xingyidao Technology Co., Ltd. (hereinafter referred to as "xingyidao") was held in Deqing International Conference Center, simultaneously with the 2019 global future travel conference. (Dr. Zhao Jie, founder and CEO of xingyidao, delivered a speech on behalf of the company) in five years, xingyidao has been continuously developing and innovating in the R & D, test and verification of vehicle borne millimeter wave radar, mass production of vehicle gauge and customized development services. At present, it has become the first leading enterprise of mass production and commercial 77GHz medium range millimeter wave radar (supporting AEB automatic emergency braking system) among Chinese independent brands. And in ultra-high precision, high-definition imaging, environmental perception output, 360 degree panoramic radar fusion technology and other aspects continue to innovate, leading China's vehicle borne millimeter wave radar technology innovation and industrialization process. (the 5th anniversary of the establishment of xingyidao and the new product launch site) from 2020, the development will enter a new stage and begin to release the commercial, technical and operational potential that has been demonstrated in the past few years. As China's independent R & D supplier of auto driving core sensors, the company is still very young, and it has been facing fierce competition from the world since its establishment, at the same time, it has also obtained huge development opportunities. However, it is in this competitive pattern of rapid evolution, dramatic changes and repeated innovation of technology companies that xingyidao adheres to the steady development mode of "one step by one" in five years, taking the system design ability, process development ability and vehicle planning and mass production ability as the core competitiveness, and effectively integrates the continuous innovation and safety verification process, Focus on the output of stable and reliable millimeter wave radar products for China's autopilot industry. (from left to right: Mr. Zhang Bingyan, chairman of Xiaolin group, partner of the company, Ms. Yan Ruihua, director of the outreach Department of China radar industry association, Dr. Zhao Jie, CEO of the company, Mr. Yu Binbin, partner of the company and head of the algorithm team, and Mr. Jiang Junan, president of the company) the new 77GHz released by the company The range millimeter wave radar asrr100 is applied to advanced driving assistance system (ADAS) and automatic driving solutions to realize blind spot detection (BSD), lane change assistance (LCA), door opening warning (Dow) Rear collision early warning (RCW) and rear cross traffic early warning (rcta) support the R & D of automatic driving platform of the main engine plant (such as highway automatic driving assistance), and the integrated development of radar. With the development of ADAS, the cost reduction, the progress of sensor and processor technology and the reduction of the complexity of system analysis and decision-making through fusion technology are the key factors to promote the wide application of ADAS technology in all kinds of vehicles. Travelogue will also focus on radar array fusion and sensor fusion to support 360 degree environment perception modeling of autonomous driving L3, even L4 and above. Driven by the development requirements of ADAS and automatic driving system, 77GHz medium range millimeter wave radar suitable for adaptive cruise control (ACC), automatic emergency braking (AEB) and forward collision warning (FCW) is also being upgraded. The new 77 GHz MMW Radar amrr112 launched by Hang Yi Dao integrates height measurement, road identification and self calibration functions on the basis of the mass-produced amrr110, which can be tested. The curve mathematical model can be used to describe the road direction of the real environment, and provide the road information description such as the track of the roadside (high-speed guardrail, fences on both sides of the ordinary road), the road width and the distance from the vehicle to the roadside on both sides. Help ACC and AEB to make car following decisions and provide richer information for automatic driving highway scenes. It can reliably classify dangerous obstacles, targets that can be crossed (underdriveable: such as road signs, viaducts, etc.), targets that can be crossed (overdriveable: such as speed bumps, well covers, buried metal plates, etc.). The probability of false alarm and false brake of AEB is greatly reduced. It can automatically detect and correct the deviation of radar installation angle ± 2 degrees horizontally in the process of driving. Reduce the accuracy requirements of radar installation, and reduce the maintenance requirements in the use process. At the same time, the world's leading 79ghz synthetic aperture radar (SAR) system is also in the technological evolution and application expansion. The automatic recognition of parking space based on SAR image has no limitation of vehicle speed (self vehicle), distance (self vehicle and target vehicle), and parking space type (transverse and longitudinal). Parking scene will not be limited by the facilities at the end of the parking lot. It can be extended to residential quarters, roadside parking, open parking lot, etc. Based on the radar detection and radar image information, the environment model information which is more convenient for the decision-making of assistant driving and automatic driving is extracted at the algorithm level. As we all know, China's traffic environment, driving behavior and traffic regulations have their own characteristics, and China's automatic driving strategy cannot be separated from continuous measurement, testing, calculation and verification at home. The high-resolution radar developed and polished based on China's traffic road environment is worthy of market expectation.

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