Advanced Driver Assistant System (ADAS) is an active safety technology that uses various sensors installed on the car to collect environmental data inside and outside the car at the first time, and perform technical processing such as identification, detection and tracking of static and dynamic objects, so that the driver can be aware of possible dangers as quickly as possible to attract attention and improve safety.
Automobile sensors are equipped for different purposes and can be divided into two categories: traditional micro-electromechanical sensors (MEMS) that improve the level of informationization of individual vehicles and smart sensors that support autonomous driving. MEMS is the "neuron" of the car, providing feedback during the control of various systems in the car to achieve automatic control. Smart sensors, on the other hand, collect information directly from the outside world and are the "eyes" of autonomous vehicles.
01
Sensors are the foundation of automotive intelligence
Sensors are the information source of automotive electronic control systems and are the basic key components of vehicle electronic control systems. Sensors are usually composed of sensitive elements, conversion elements and conversion circuits. The sensitive element refers to the part of the sensor that can directly sense or respond to the measured value, the conversion element converts the above non-electrical quantity into an electrical parameter, and the function of the conversion circuit is to process and convert the electrical signal output by the conversion element into a part that is easy to process, display, record and control. Based on the different purposes of current automotive sensor equipment, they can be divided into two categories: traditional micro-electromechanical sensors that improve the level of informationization of single vehicles and intelligent sensors that provide support for unmanned driving.
▲The composition of automotive sensors
Traditional sensors: Each system control process relies on sensors to provide information feedback and realize automatic control. They are the "neurons" of the car. Traditional automotive sensors can be divided into eight categories according to their functions, including pressure sensors, position sensors, temperature sensors, acceleration sensors, angular velocity sensors, flow sensors, gas concentration sensors, and liquid level sensors. Automotive sensors are mainly used in powertrain systems, body control systems, and chassis systems. Automotive sensors are responsible for the collection and transmission of information in these systems. The information they collect is processed by the electronic control unit to form instructions to the actuator to complete electronic control.
▲Classification of traditional sensors
Smart sensors: Smart sensors are the "eyes" of driverless vehicles. Cars are rapidly evolving into secure, networked autonomous driving robots that perceive the environment, make planning decisions, and ultimately arrive at their destinations safely. Currently, the mainstream sensor products used for environmental perception mainly include four categories: lidar, millimeter-wave radar, ultrasonic radar, and cameras.
▲Smart sensor classification
02
MEMS Sensors: Automotive Micro-Senses
MEMS sensors are developed on the basis of semiconductor manufacturing technology and are new sensors manufactured using microelectronics and micromachining technology. MEMS sensors are widely used in systems such as electronic body stability program (ESP), anti-lock braking system (ABS), electronically controlled suspension (ECS), and tire pressure monitoring system (TPMS). Among them, pressure sensors, accelerometers, gyroscopes, and flow sensors are the most commonly used MEMS sensors in automobiles, accounting for 99% of automotive MEMS systems.
▲MEMS is widely used
▲MEMS sensor value is relatively concentrated
MEMS has obvious advantages and is one of the main choices for building sensors in the perception layer of the Internet of Things in the future. Its advantages are mainly reflected in: 1) miniaturization, 2) silicon-based processing technology, 3) mass production, and 4) integration.
1) Miniaturization: MEMS devices are small in size, with individual dimensions measured in millimeters or even micrometers, light in weight, and low in energy consumption. The higher surface-to-volume ratio (surface area to volume) of MEMS can increase the sensitivity of surface sensors.
2) Mass production: Taking a single 5mm5mm MEMS sensor as an example, about 1,000 MEMS chips can be cut out simultaneously on an 8-inch silicon wafer using silicon micromachining technology. Mass production can greatly reduce the production cost of a single MEMS.
3) Integration: Generally speaking, a single MEMS often integrates an ASIC chip while packaging a mechanical sensor to control the MEMS chip and convert analog quantities into digital outputs.
▲MEMS and ASIC chip integrated packaging
▲MEMS can be mass-produced to reduce manufacturing costs
Foreign large companies monopolize the MEMS sensor market, and the market concentration is high. According to HIS Automotive statistics, the top three global MEMS suppliers (Bosch, Sensata, and NXP) accounted for 57% of the market share in 2017, with Bosch taking the lead with a market share of 33.62% in 2017, Sensata with a market share of 12.34%, and NXP with a market share of 11.91%. Denso (8.94%), Analog Devices (8.51%), Panasonic (7.45%), Infineon (7.23%) and other manufacturers also have a certain share.
Foreign large manufacturers have broad product lines, leading technologies, numerous customers, and high barriers to entry. The difficulty of MEMS sensor R&D and the complexity of its manufacturing process are the main reasons for the formation of industry barriers. Foreign manufacturers such as Invensense and Infineon have 2 to 3 product lines, while Bosch, Denso, STMicroelectronics and other MEMS product lines exceed 4. In contrast, it is difficult for small suppliers to achieve mass production in a short period of time, so the market share of the top-ranked large suppliers is relatively stable and the market concentration is relatively high.
The quantity and value of MEMS sensors installed are directly proportional to the price of the models they are installed on. At present, an average of 24 MEMS sensors are contained in each car, while in high-end cars, about 25-40 MEMS sensors are used. For example, the engine of BMW high-end models can use 20-40 sensors alone, while entry-level models only have about 5. The value of commonly used MEMS sensors installed on a single vehicle ranges from 2,000 to 20,000 yuan; joint venture cars are usually not less than 4,000 yuan, while independent brands are only about 2,000 yuan, and high-end models are about 10,000-20,000 yuan. It is estimated that the market size of MEMS sensors will reach 42.013 billion yuan by 2019; with the improvement of intelligence and electrification, the market size will reach 44.621 billion yuan and 47.227 billion yuan in 2020 and 2021 respectively, with a compound growth rate of 6.5% from 2015 to 2021.
03
Smart sensors: the core of autonomous driving
1. Millimeter-wave radar: ADAS system core sensor
Millimeter wave radar refers to the use of millimeter waves with a wavelength of 1-10nm and a frequency of 30GHZ-300GHZ to calculate the distance by measuring the time difference of the echo. Millimeter wave radar was first used in the military field, and with the improvement of technology level, it has gradually been applied to the automotive field.
The advantages of millimeter wave radar are mainly in the following three aspects:
1) Stable detection performance, long effective distance and good environmental applicability.
2) Compared with ultrasonic radar, it has the characteristics of small size, light weight and high spatial resolution.
3) Compared with optical sensors, millimeter wave radar has a strong ability to penetrate fog, smoke, and dust, and has the characteristics of all-weather and all-day. However, it also has disadvantages such as high cost and difficulty in identifying pedestrians.
▲Advantages and disadvantages of millimeter wave radar
77 GHz has more advantages in both performance and size. Currently, the frequencies of vehicle-mounted radars are mainly divided into 24GHZ band and 77GHZ band. Compared with 24GHz millimeter-wave radar, 77GHz has higher distance resolution and is one-third smaller in size. In 2018, the China New Car Assessment Program (C-NCAP) included the automatic emergency braking system (AEBS) in the scoring system, which will drive the market demand for 77GHz millimeter-wave radar in the future. In the long run, the 77GHz millimeter-wave radar is smaller in size and has a longer detection range, which makes it have a larger market space than the 24GHz millimeter-wave radar.
▲Comparison of 24GHz and 77GHz millimeter wave radar
24GHz and 77GHz millimeter-wave radars are both capable of long- and short-range detection for ADAS. Millimeter-wave radars are widely used in ADAS systems because of their small hardware size and immunity to bad weather. 24GHz is currently widely used in blind spot monitoring and lane change assistance for cars. The radar is installed in the rear bumper of the vehicle to monitor whether there are cars in the lanes on both sides of the rear of the vehicle and whether lane changes can be made. The 77GHz radar is superior to the 24GHz radar in terms of detection accuracy and distance. It is mainly used to be installed on the front bumper of the vehicle to detect the distance to the vehicle in front and the speed of the vehicle in front. It mainly realizes active safety functions such as emergency braking and automatic following. To fully realize the various ADAS functions, 5 millimeter-wave radars, "1 long + 4 medium and short", are generally required. The Audi A8 is equipped with 5 millimeter-wave radars (1LRR+4MRR), and the Mercedes-Benz S-Class is equipped with 6 millimeter-wave radars (1LRR+6SRR). Currently, the unit price of a 77GHz millimeter-wave radar system is around 1,000 yuan, and the unit price of a 24GHz millimeter-wave radar is around 500 yuan.
Previous article:How to choose three key sensors for autonomous driving upgrade
Next article:What is a Battery Management System (BMS)? What are the benefits of a Bluetooth Low Energy automotive battery management system?
- Popular Resources
- Popular amplifiers
- 100 Examples of Microcontroller C Language Applications (with CD-ROM, 3rd Edition) (Wang Huiliang, Wang Dongfeng, Dong Guanqiang)
- Real-time driver monitoring system via modal and viewpoint analysis
- Multi-port and shared memory architecture for high-performance ADAS SoCs
- Computer Vision Applications in Autonomous Vehicles: Methods, Challenges, and Future Directions
- Red Hat announces definitive agreement to acquire Neural Magic
- 5G network speed is faster than 4G, but the perception is poor! Wu Hequan: 6G standard formulation should focus on user needs
- SEMI report: Global silicon wafer shipments increased by 6% in the third quarter of 2024
- OpenAI calls for a "North American Artificial Intelligence Alliance" to compete with China
- OpenAI is rumored to be launching a new intelligent body that can automatically perform tasks for users
- Arm: Focusing on efficient computing platforms, we work together to build a sustainable future
- AMD to cut 4% of its workforce to gain a stronger position in artificial intelligence chips
- NEC receives new supercomputer orders: Intel CPU + AMD accelerator + Nvidia switch
- RW61X: Wi-Fi 6 tri-band device in a secure i.MX RT MCU
Professor at Beihang University, dedicated to promoting microcontrollers and embedded systems for over 20 years.
- LED chemical incompatibility test to see which chemicals LEDs can be used with
- Application of ARM9 hardware coprocessor on WinCE embedded motherboard
- What are the key points for selecting rotor flowmeter?
- LM317 high power charger circuit
- A brief analysis of Embest's application and development of embedded medical devices
- Single-phase RC protection circuit
- stm32 PVD programmable voltage monitor
- Introduction and measurement of edge trigger and level trigger of 51 single chip microcomputer
- Improved design of Linux system software shell protection technology
- What to do if the ABB robot protection device stops
- CGD and Qorvo to jointly revolutionize motor control solutions
- CGD and Qorvo to jointly revolutionize motor control solutions
- Keysight Technologies FieldFox handheld analyzer with VDI spread spectrum module to achieve millimeter wave analysis function
- Infineon's PASCO2V15 XENSIV PAS CO2 5V Sensor Now Available at Mouser for Accurate CO2 Level Measurement
- Advanced gameplay, Harting takes your PCB board connection to a new level!
- Advanced gameplay, Harting takes your PCB board connection to a new level!
- A new chapter in Great Wall Motors R&D: solid-state battery technology leads the future
- Naxin Micro provides full-scenario GaN driver IC solutions
- Interpreting Huawei’s new solid-state battery patent, will it challenge CATL in 2030?
- Are pure electric/plug-in hybrid vehicles going crazy? A Chinese company has launched the world's first -40℃ dischargeable hybrid battery that is not afraid of cold
- STM32H743 development board transplants micropython and expands 32M SQPI flash and 32M SDRAM
- How big is our misunderstanding of green oil? Let’s analyze it with real cases!
- How much do you know about impedance matching?
- DLP Dynamic Floor Projection Technology for Automotive Exterior Lighting
- 16 PCB welding defects! What are their hazards?
- EEWORLD University ---- PCB Design Video - Learn PADS PCB Design in 1 Day
- 【NUCLEO-L552ZE Review】-3: Arduino vs. Mbed?
- What is the reason why IIC fails when the MSP430FR2311 power supply voltage rises to 3.5V? How to solve it?
- Signal linear transformation problem
- [GD32E231 DIY Contest] Part 4: Summary