[Camera News] Mainland Chip Intelligent Driving is first used in Xiaomi cars; Tongxingda enters the automotive camera module market; Infineon launches high-resolution automotive 3D image sensors
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A preview of the week's car camera news
◆ The joint venture between Continental and Horizon Robotics is named Continental Intelligent Driving, and its products may be first used in Xiaomi cars
◆ Ruichuang Micronano cooperates with TuSimple to enable autonomous driving trucks with infrared thermal imagers around the clock
◆O-Film: The company's automotive camera products 2M front-view trinocular and 8M front-view binocular will be mass-produced soon
◆Infineon launches high-resolution 3D image sensor for automotive
◆The capacity war begins, Tongxingda enters the automotive camera module market
The joint venture between Continental and Horizon Robotics is named Continental Intelligent Driving, and its products may be first used in Xiaomi cars
Multifunctional front-view camera, Image source: Continental
On June 23, Continental AG officially announced the latest progress of its joint venture with Horizon Robotics, Continental Intelligent Driving (Shanghai) Intelligent Technology Co., Ltd. (hereinafter referred to as Continental Intelligent Driving).
At present, Continental Chip Intelligent Driving has launched the first cost-effective 8-megapixel multi-function front-view camera and a domain controller equipped with an automotive-grade AI chip, and has obtained designated projects from many companies. The 8-megapixel intelligent front-view camera is developed based on the Horizon Journey® 3 chip, and can support different assisted driving compatible solutions such as 1V1R, 1V2R, 1V3R, 1V4R, and 1V5R, helping to realize functions such as AEB, FCW, ACC, and TJA.
Continental has developed a 5R1V multi-sensor fusion system based on the 8-megapixel smart camera and its self-developed fifth-generation forward millimeter-wave radar (long-range radar) and corner radar (short-range radar), and recently received a mass production order from a highly anticipated new car-making company in China, helping the new car-making company to build a L2 autonomous driving mass production project. It is understood that this solution is planned to be put into production on the first electric vehicle of the new car-making company in 2024.
At present, the new car-making forces that have attracted much attention in China and have not yet launched their first products are mainly Jidu Auto and Xiaomi Auto. However, Jidu has repeatedly stated that its first mass-produced robot car is planned to be launched and delivered in 2023, so it is bold to speculate that the new car brand here may be Xiaomi Auto. Xiaomi Auto also stated that the first car will roll off the assembly line and achieve mass production in 2024. (Gasgoo)
An investor asked a question on the investor interaction platform: Hello, Secretary Dong, is the company’s current in-vehicle product technology industry-leading?
O-Film Technology (002456.SZ) stated on the investor interaction platform on June 20 that the company's automotive camera products, 2M front-view trinocular and 8M front-view binocular, will soon be put into mass production; 3M and 8M surround-view rear-view cameras have been put into mass production ; 1M and 2.5M surround-view cameras have been put into mass production; 2M electronic exterior rearview mirror camera with heating function has been put into mass production; 1M and 2M in-cabin DMS and OMS cameras have been put into mass production, and 5M is under development; among the automotive ToF products, the automotive ToF module with VGA resolution has achieved the first large-scale mass production, and the human eye safety has been certified; in addition, the event-driven camera module is also under intensive development.
The company has launched a perception system solution, including a front-view 8M binocular camera module, 5 8M surround-view rear-view cameras, 4 3M surround-view cameras, 1 DMS ToF camera, 1 forward digital 4D millimeter-wave radar, 5 multi-mode corner surround radars, and 1 set of pure solid-state laser radar combinations to help achieve a higher level of autonomous driving for smart cars. The core competitiveness of the company's automotive business is the ability to provide system-level solutions. The company is based on advanced sensors and actively expands its hardware, software and algorithm capabilities. It can customize and develop automatic parking systems, surround-view systems, integrated driving domain controllers, body domain controllers with integrated Ethernet gateways, instrument center controls, HUDs and other system-level products.
Recently, Infineon Technologies and Paiande, which specializes in 3D ToF (time of flight) systems, have developed the second-generation REAL3 image sensor for automotive use. This sensor complies with the ISO26262 standard and has a higher resolution. This product can achieve the same functions in the car as mobile consumer terminals, while always meeting automotive-grade standards and even improving passive safety. For example, reliable and secure facial recognition allows seamless access to any service that requires identity authentication, such as payment, battery charging or access to private data. "
In addition, this 3D image sensor also enables the in-vehicle camera to meet the various requirements of driver status monitoring and accurately determine whether the driver has dangerous driving behaviors such as distraction and fatigue. In this way, only one ToF camera is needed to create a driver status monitoring system that can safely perform 3D facial recognition.
The sensor adopts a 9x9mm2 plastic BGA (ball grid array) package and achieves a VGA system resolution of 640x480 pixels using a micro-photosensitive area of only 4mm. Thanks to this, the in-vehicle camera in automotive applications can now be made as small as a smartphone camera. The REAL3 sensor has a high resolution, making it suitable for wide-field camera applications, such as front passenger all-round monitoring systems. Using the generated three-dimensional body model, the body shape and weight of the occupants can be accurately estimated, and highly accurate occupant and seat position data can be obtained, thereby providing key information for the deployment and restraint system of smart airbags. This single-chip solution is not only compact, but also meets the AEC-Q100 Grade 2 standard and is the first solution developed in accordance with the ISO26262 (ASIL-B) standard.
In addition to safety-critical applications, 3D data can also be used to implement body comfort features, such as gesture control, or interior lighting systems that can intuitively sense the movements of passengers and automatically adjust the lights. In addition, the image sensor can also be used in environmental perception scenarios in cars like Flash LiDAR. In terms of safety, it is also an ideal choice for mobile robots, drones and other similar autonomous control applications. Because in these application scenarios, reliability and safety are necessary to protect operators.
Recently, Tongxingda stated on the investor interaction platform that the company recently established a holding subsidiary, Nanchang Tongxingda Automotive Electronics Co., Ltd., with a focus on expanding the company's industrial layout in the field of automotive optical displays and better grasping new opportunities brought about by industry changes and technological upgrades.
The demand for vehicle camera modules is growing rapidly. Industry data shows that the entire camera module market has grown from $20.1 billion in 2014 to $51 billion in 2020, and then to $60 billion. Vehicle camera modules are expected to maintain a high growth rate of more than 30% per year. This is mainly because the number of camera modules installed in cars is increasing rapidly as the autonomous driving market expands. In 2020, the average number of camera modules in an autonomous car was only 2-3, while now there are basically 7-8, and it is expected that each new car will be installed with an average of more than 12 camera modules in the future.
At present, the automotive camera industry is dominated by South Korea, Japan and China, and almost all camera lens manufacturers are making full efforts to develop the automotive camera field. Since the automotive camera module industry is highly customized, it also provides opportunities for many camera module processing companies. Among them, the competitive advantage of production capacity scale has also been increasingly valued by the industry, and the production capacity war for automotive camera module processing has also spread rapidly.
Tongxingda also believes that as the market and policy environment mature, the wave of automotive intelligence is surging. As the core perception hardware that is indispensable in automotive intelligence, the application of vehicle cameras has expanded from traditional rear-view cameras to full-scene and multi-directional cameras, from single cameras to multiple cameras, and from imaging lenses to perception lenses, etc., with broad prospects. The establishment of automotive electronics is to focus on expanding the company's industrial layout in the field of optical display, better grasp the new opportunities brought about by industry changes and technological upgrades, and has positive significance for the company's long-term development.
Recently, Ruichuang Micronano reached a strategic cooperation with TuSimple, a global driverless technology company. The two parties will jointly promote the application of automotive infrared thermal imagers in the field of domestic autonomous driving truck freight.
This strategic cooperation is aimed at the Chinese market. The two parties will focus on the L4 autonomous driving truck pre-installation fixed-point project that deploys on-board infrared cameras, aiming at the large-scale mass production of advanced driver assistance (ADAS) and autonomous driving (AD) systems. They will jointly explore high-performance, automotive-grade, pre-installed mass-produced on-board infrared sensing solutions for logistics and freight scenarios, and promote the commercial operation and large-scale expansion of TuSimple's autonomous driving trucks and unmanned freight network (AFN).
Logistics and freight scenes are mostly high-speed scenes, which require higher environmental perception performance. Asens automotive-grade automotive infrared thermal imagers are based on strict automotive standards and reliability verification, which can fully meet the high-standard product requirements of TuSimple trucks. At the same time, automotive infrared thermal imagers have irreplaceable advantages in driving scenes: the detection distance far exceeds that of ordinary cameras; no other light sources are required, and clear images can be formed in low-light and no-light scenes; they are not affected by glare, haze, dust and other bad weather, and are a favorable supplement to the environmental perception system of unmanned freight trucks.
Ruichuang Micronano is a world-leading intelligent sensing technology solution provider with a full range of automotive infrared thermal imager products and full-scenario automotive night vision system solutions. Through this cooperation, both parties will give full play to their respective advantages, achieve resource complementarity, and jointly promote the commercialization of driverless technology.
2022 3rd Automotive Vision Foresight Technology Exhibition and Exchange Conference Event Preview:
Conference Background
Smart Car Expert and Yimao Information Technology will hold the 2022 (3rd) Automotive Vision Forward-looking Technology Exhibition and Exchange Conference in Suzhou on July 7-8, 2022. More than 300 industry experts from well-known automakers, Tier1, camera system solution providers, module manufacturers, chip original device suppliers, packaging and testing, and scientific research institutes will discuss the industry trends, market forecasts, and supply systems of automotive camera vision systems. We strive to create a comprehensive platform for information sharing, experience exchange, technical support, and product display.
Morning of July 7, 2022
Exhibition setup & registration & communication
Morning of July 7, 2022
Topic 1: Automotive Vision Perception Market: Opportunities and Challenges
1. Analysis and Outlook of Global In-Vehicle Camera Market
Speaker: Yole Development
2. Comparison of ADAS and autonomous driving cameras: Image quality requirements
Speaker: General Motors, Camera and Image Quality Expert, Sai Vishnu Aluru
3. Xpeng's advanced driver assistance system and multi-sensor fusion innovation
Speaker: Dr. Dehao Liu, Autonomous Driving Center, Xpeng Motors
4. Application scenarios of Desay SV's integrated driving and parking solution
Speaker: Ge Junqin, Deputy General Manager of Intelligent Driving Assistance Business Unit, Desay SV
CEO Focus Interview
2022.7.7 afternoon
Topic 2: Innovative technological breakthroughs in automotive vision systems
1. Development trend and future of automotive CMOS image sensors
Speaker: Sony, Tech lead Image Sensor Development, Harshita Sahu
2. Autonomous Driving Visual Perception for Autonomous Driving
Speaker: Fiachra Collins, R&D Computer Vision Manager, Valeo Vision Systems
3. Computer vision helps ADAS and enables digital cockpits
Speaker: Shang Hanyu, Chief Engineer of ADAS Function, Harman China
4. Foresight Automotive ADAS Perception Solutions
Speaker: Sapphire Liu, China Marketing Manager, Foresight Automotive
5. DVS neuromorphic vision sensor achieves efficient detection in ADAS perception
Speaker: Kynan Eng, CEO, IniVation
6. Binocular perception protects ADAS/AV driving safety*
7. Modular and scalable architecture platform for high-performance visual computing
Speaker: NVIDIA
Morning of July 8, 2022
Topic 3: Visual perception empowers autonomous driving
1. Explore the limits and limitations of monocular image 3D vehicle detection
Speech company: Baidu
2. Research, development, exploration and mass production of autonomous driving surround vision algorithms
Speaker: COO, Cao Bo, Wuhan Huanyu Intelligent Driving Technology Co., Ltd.
3. 3D Understanding - A New Paradigm for Autonomous Driving Level Transition
Speaker: Liu Jingxiu, Partner & Vice President of Business, Beijing Jianzhi Robotics Technology Co., Ltd.
4. Exploration of the balance between performance and cost of vehicle-mounted cameras under the development of high-resolution
Speech company: Zhuhai Guanghaojie Technology Co., Ltd.
5.
How to transform ultra-wide-angle cameras to improve ADAS and autonomous driving applications
Speaker: Patrice Roulet, VP Technology, Immervision
2022.7.8 afternoon
Topic 4: Automotive Vision System Evaluation and Verification
1. Global NCAP perspective, requirements and roadmap
Speaker: Alejandro Furas, Secretary General, Global NCAP
2. Challenges of high-pixel development to the manufacturing process of automotive cameras
Speakers: ASM Pacific Technology, CIS technical experts, Blue Sky
3. Effective sensor cleaning under harsh conditions
4. Synthetic data and automatic annotation for training and validating next-generation autonomous driving visual perception
Speaker: Peter Kovacs, Senior Vice President of AiMotive
5. GatedVision Gated Imaging - Overcoming the Challenges of Autonomous Driving in Low Visibility Conditions
Speaker: Dr. Meny Benady, Head of Business & Strategy Development, BrightWay Vision
6. The development of meta-lenses and liquid lenses and their future in the automotive industry
Speaker: Donald A. Peyrot, Optics Team Leader, R&D Prague, Valeo
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Past Speakers
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Booth
Catalogue color pages
Chair Cover
Dinner
Roundtable Interview
Conference Information Kit
Lanyard
Special thanks to the following vehicle manufacturers for participating
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