Previous review: The 2026 China (Guangzhou) International Automotive Vision and Perception Technology Exhibition has been successfully held for 5 sessions. The previous exhibition attracted nearly 500 high-quality suppliers from home and abroad to participate, including; Bosch、Valeo、DENSO、Continental、Mobileye、Sony、 Huawei, Desai Xiwei, Horizon Robotics, Jimu Intelligence, Zike Technology, Zhongke Chuangda, Sunny Optics, Haowei Group, OFILM, Yutong Optics, SITWE, Hikvision, Dahua, Yongxin Optics, Hesai Technology, Sagitar Juchuang, Gaode Infrared, Ruichuang Micro Nano, Huayu Automotive, NavInfo, Dali Technology, Tudatong, Huagong Technology, Juguang Technology, DJI Lanwo and many other well-known domestic and foreign enterprises. According to statistics, the number of visitors in the previous edition reached 57637, and it is expected that the growth rate of exhibition visitors in 2026 will be 20%.

Automotive vision and perception are the core foundation of intelligent driving, equivalent to the vehicle's "visual sensory system". It relies on hardware such as cameras, LiDAR, millimeter wave radar, infrared imaging, and combines machine vision and deep learning algorithms to complete road environment recognition, obstacle detection, and human vehicle behavior prediction, supporting the landing of advanced autonomous driving from L2 assisted driving to L3 and above. With the popularization of new energy vehicles and the improvement of intelligent driving regulations, the industry has entered a high-speed expansion cycle. The global car vision market will exceed billions of dollars in size by 2026, and the annual growth rate of the domestic perception hardware market will exceed 20%. The industrial technology and market pattern will continue to iterate and upgrade. The first stage of industry development is mainly based on basic ADAS vision, with monocular cameras achieving basic functions such as lane departure warning and automatic emergency braking. The hardware is mainly composed of 2-megapixel low definition cameras, and the algorithm only supports simple two-dimensional image recognition. The perception ability is limited to good road conditions during the day and is only used as a safety auxiliary configuration in mid to high end car models. With the mass production of 8 million and 13 million high dynamic vehicle grade cameras and the popularization of binocular and three eye multi focus vision solutions, the industry has entered the second stage. Multi vision relies on different field of view lenses to cover far, medium, and near scenes, and uses the BEV bird's-eye view Transformer algorithm to achieve 3D spatial modeling. It can recognize traffic lights, irregular obstacles, and road signs. The 70000 level affordable electric vehicle has achieved a complete set of surround view vision systems as standard, and the cost of visual hardware continues to decline, becoming a fundamental requirement for the vehicle perception system.

There are currently two mainstream technological routes in the industry: pure vision and multi-sensor fusion. The purely visual route, represented by Tesla, relies on massive road test data and end-to-end large model to weaken hardware dependence. Its advantages are controllable cost and efficient data closed-loop. However, there are shortcomings in the perception stability of extreme environments such as backlight, rainstorm and dense fog. Domestic mainstream car companies generally adopt a fusion solution that focuses on vision and has radar as the backbone. High definition cameras are used as the semantic recognition core, combined with 4D millimeter wave radar and semi-solid laser radar to supplement depth and speed information. Multi sensor data is synchronously fused in time and space to compensate for the physical defects of single vision. In 2026, the domestic L3 autonomous driving standard explicitly requires advanced intelligent driving to be equipped with multiple redundant sensing hardware, and multimodal fusion has become a long-term development consensus in the industry. The continuous innovation of hardware technology drives the upgrading of the industry. Visual sensors are developing towards high dynamic, high frame rate, and infrared fusion. The 140dB high dynamic camera solves the problem of blurred imaging in alternating light and dark road conditions, while the thermal imaging night vision camera is gradually being lowered to achieve stable detection in dark, rainy, and foggy scenes; Lidar has shifted from mechanical to MEMS semi-solid state, significantly reducing costs, and solid-state chip based radar has become a long-term goal; 4D millimeter wave radar improves resolution and compensates for visual distance measurement deficiencies. At the software level, the vehicle vision model is quickly implemented, and the ability to detect common obstacles and infer scene knowledge is greatly improved. The image free perception solution relies on visual SLAM to reduce the dependence on high-precision maps and lower the threshold for intelligent vehicle transformation.

The process of domestic industrial chain autonomy is accelerating, breaking the monopoly of overseas manufacturers. Local enterprises in camera chips, lenses, ISP image processing, and perception algorithms are rapidly rising, forming a complete industry chain from sensor hardware to fusion algorithms. The cost-effectiveness advantage is driving visual perception to sink into entry-level commuting vehicles, and the penetration rate of L2+high-end intelligent driving continues to increase. At the same time, there are still multiple challenges in the industry: insufficient robustness in extreme long tail scene perception, difficulty in unified calibration of multiple sensors, high cost of high computing chips, and strict threshold for automotive grade functional safety certification; In addition, the storage and transmission of massive visual data bring pressure on data compliance and information security, which hinders the large-scale implementation of advanced autonomous driving. In the long run, there will be three major trends in automotive visual perception. One is the deep integration of software and hardware, with integrated design of sensors, processing chips, and visual algorithms to reduce the cost of vehicle layout and calibration; The second is the continuous deepening of multimodal perception, with the integration of visual, radar, infrared, and vehicle road collaborative data to build a seamless perception network for all time periods and weather conditions; The third is the lightweighting and generalization of algorithms, combining small models on the in vehicle end with cloud based large models for iteration, to achieve continuous OTA upgrades of the perception system. As the core track of intelligent vehicles, the automotive visual perception industry still has vast growth potential, and technological independence, cost optimization, and safety and reliability will be the core themes of long-term competition in the industry.

As a professional exhibition in the field of automotive vision and perception directly organized by numerous domestic and foreign industry associations and government regulatory departments, with its consistent style of "clear themes, prominent features, emphasis on effectiveness, and continuous innovation", its popularity and influence in the industry are increasing day by day. Industry insiders have regarded it as the best platform for "understanding industry information, grasping market trends, showcasing corporate brands, expanding trade channels, and seeking cooperation opportunities". The excellent results of the exhibition have won praise and favor from numerous exhibitors and visitors. This exhibition has become the most authoritative, professional, and largest automotive vision and perception industry event in Asia. At the same time, the "China International Forum on High end Development of Automotive Vision and Perception Industry" and multiple high-end conferences and industry forums will be held, inviting domestic and foreign experts and representatives to interact and exchange ideas, explore industry development trends, and share their experiences and achievements. At that time, we warmly welcome domestic and foreign automotive vision and perception enterprises and related industry users to visit and exchange ideas.

1. Automotive Vision: Innovative display applications such as car cameras, high-definition cameras, IPC network cameras, USB cameras, camera modules, high-definition serial cameras, car hard disk recorders, car displays, etc;

2. Automotive perception: sensors, LiDAR, ultrasonic radar, millimeter wave radar, cameras, infrared, binocular/multi vision, gesture recognition, positioning and navigation, vehicle to vehicle communication, and vehicle perception testing, etc;

3. Visual materials and equipment: substrate glass, liquid crystal materials, polarizers, color filters, optical films, driver ICs, target materials, deposition equipment, exposure equipment, development equipment, etching equipment, cleaning equipment, polarizer pasting equipment, detection equipment, PI coating/curing equipment, directional friction equipment, liquid crystal filling/sealing equipment, inkjet printing equipment, etc;

• Company:Shanghai Yewen Exhibition Service Co., Ltd
• Telephone:021-54388602
• Contact:Li Cheng
• Mobile:13122870856
• Address:Jinye Guangzhou Exhibition Co., Ltd., Building 1, Jinhan Exhibition Center, Yuexiu District, Guangzhou City, Guangdong Province, China

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