--> On-Site Coverage of the Xuzhou Engineering Expo and the Shenzhen Jiuzhou Expo: The Vehicle-Mounted Radar-Vision All-in-One Takes Center Stage-Hunan Nanoradar Science &Technology_Accurate Detection

On-Site Coverage of the Xuzhou Engineering Expo and the Shenzhen Jiuzhou Expo: The Vehicle-Mounted Radar-Vision All-in-One Takes Center Stage

2026-03-24


Abstract

The newly launched vehicle-mounted radar-vision all-in-one has become the center of attention—numerous customers have lingered for extended periods, engaging in in-depth discussions on solution details, deployment methods, application scenarios, and cost advantages.

From March 20 to 23, Nanoradar showcased its integrated the vehicle-mounted radar-vision all-in-one, obstacle-avoidance radar, 4D imaging radar, and multiple industry-specific solutions at both the Xuzhou Construction Machinery Exhibition and the Shenzhen Jiuzhou Exhibition.

The newly launched vehicle-mounted radar-vision all-in-one has become the center of attention—numerous customers have lingered for extended periods, engaging in in-depth discussions on solution details, deployment methods, application scenarios, and cost advantages.

 

Key Exhibit: Global Debut of Nanoradar’s First Radar-Visual Integrated Unit

Nanoradar’s first vehicle-mounted radar-vision all-in-one, the RVF721, addresses key pain points of traditional split-system deployments—such as the need for repeated calibration and alignment—and the limited depth of integration in all-in-one solutions. It boosts stability in extreme scenarios by more than 30%, garnering significant attention from customers.


Six Vehicle Radar Models Make a Striking Debut

The Nanoradar in-vehicle radar family focuses on three key low-speed vehicle application scenarios: autonomous driving for AGVs, obstacle avoidance for medium-sized low-speed vehicles such as forklifts, and obstacle avoidance for large low-speed vehicles such as wheel loaders. It covers a range from 20 meters to 170 meters, delivers point-cloud output at 1,200 points per frame, and supports a flexible field of view ranging from a narrow 18° angle to dual wide-angle configurations up to 120°.


Three Major Scenario Case Studies Presented in Focus

Three major application cases—360° radar detection, three-level audio-visual alarms, and target distance display—are showcased in a concentrated demonstration, highlighting Nanoradar’s mature deployment and scenario-specific application capabilities in the low-speed vehicle sector.


Recommended Reading


4D Imaging Radar for Construction Vehicle Safety | Nanoradar


Discover Nanoradar’s AFM761 4D imaging radar for accurate obstacle detection and vehicle safety in mining and construction environments. Contact us.

2026-11-05

Nanoradar Radar, the “standard building block” of the robotics ecosystem, is accelerating its integration into more robotic applications.


Nanoradar Radar is rapidly expanding its integration into an increasing range of robotic applications. With advantages such as dual wide fields of view, compact size, and ease of integration, Nanoradar Radar is continuously adapting to various robot platforms and scenarios, providing reliable perception capabilities for functions like navigation and obstacle avoidance, object detection, and target tracking, and gradually becoming a standard building block within the robotics ecosystem.

2026-11-05

WHEELTEC and Nanoradar have entered into a strategic partnership to jointly push the boundaries of intelligent perception in AI‑powered educational robots.


On October 28, 2026, WHEELTEC (Dongguan) Co., Ltd. (hereinafter referred to as “WHEELTEC”) and Hunan Nanoradar Technology Co., Ltd. (hereinafter referred to as “Nanoradar”) held a strategic partnership signing ceremony at WHEELTEC’s headquarters in Dongguan, further deepening their existing collaboration. Yang Zihao, Chairman of WHEELTEC, General Manager Zhang Xian, and Nanoradar’s General Manager Zhou Kunming, along with other senior executives, attended the event and engaged in an in-depth discussion on the application of millimeter-wave radar in AI‑powered educational robots, as well as on the next phase of product‑cooperation and market‑promotion strategies between the two companies.

2026-10-30