In the application of autonomous driving, LiDAR is mainly used to detect obstacles on the road, transmit data and signals to the brain of autonomous driving, and then make corresponding driving actions. However, common outdoor interference factors such as rain, fog, snow, dust, high and low temperatures have a great impact on the recognition of LiDAR. Therefore, before LiDAR is put into practical application, a large number of tests need to be carried out in special environments such as rain, fog, light, and dust.
Under natural environmental conditions, the required test scenarios are hard to come by and cannot be reproduced, which cannot meet the needs of large-scale real-environment testing of lidar.
LiDAR is a sensor that is currently changing the world. It is widely used in self-driving cars, drones, autonomous robots, satellites, rockets, etc. The laser measures the propagation distance (Time of Flight, TOF) between the sensor transmitter and the target object, analyzes the reflected energy size, amplitude, frequency and phase of the reflected spectrum on the surface of the target object, and outputs a point cloud, thereby presenting the precise three-dimensional structural information of the target object.
LiDAR is composed of a laser transmitting unit and a laser receiving unit. The transmitting unit works by emitting layers of laser beams. The more layers there are, the higher the accuracy is, but this also means that the sensor size is larger. After the transmitting unit emits the laser, when the laser encounters an obstacle, it will be reflected and then received by the receiver. The receiver creates a set of point clouds based on the time when each laser beam is emitted and returned. A high-quality LiDAR can emit more than 200 laser beams per second.
As for the wavelength of laser, currently, laser transmitters with wavelengths of 905nm and 1550nm are mainly used. Light with a wavelength of 1550nm is not easy to transmit in the liquid of the human eye. Therefore, 1550nm can greatly increase the transmission power while ensuring safety. High power can achieve a longer detection distance, and long wavelength can also improve anti-interference ability. However, 1550nm lasers require the use of InGaAs, which is currently difficult to mass produce. Therefore, Si materials are currently used more to mass produce 905nm LiDAR. Safety is ensured by limiting power and pulse time.
Previous article:Power management chip classification: Power supply solution for automotive motor controller
Next article:3D layout and structural design principles of automobile engine compartment wiring harness
Recommended ReadingLatest update time:2024-11-16 10:22
- Popular Resources
- Popular amplifiers
- LiDAR point cloud tracking method based on 3D sparse convolutional structure and spatial...
- GenMM - Geometrically and temporally consistent multimodal data generation from video and LiDAR
- Comparative Study on 3D Object Detection Frameworks Based on LiDAR Data and Sensor Fusion Technology
- A review of deep learning applications in traffic safety analysis
- Huawei's Strategic Department Director Gai Gang: The cumulative installed base of open source Euler operating system exceeds 10 million sets
- Analysis of the application of several common contact parts in high-voltage connectors of new energy vehicles
- Wiring harness durability test and contact voltage drop test method
- Sn-doped CuO nanostructure-based ethanol gas sensor for real-time drunk driving detection in vehicles
- Design considerations for automotive battery wiring harness
- Do you know all the various motors commonly used in automotive electronics?
- What are the functions of the Internet of Vehicles? What are the uses and benefits of the Internet of Vehicles?
- Power Inverter - A critical safety system for electric vehicles
- Analysis of the information security mechanism of AUTOSAR, the automotive embedded software framework
Professor at Beihang University, dedicated to promoting microcontrollers and embedded systems for over 20 years.
- Innolux's intelligent steer-by-wire solution makes cars smarter and safer
- 8051 MCU - Parity Check
- How to efficiently balance the sensitivity of tactile sensing interfaces
- What should I do if the servo motor shakes? What causes the servo motor to shake quickly?
- 【Brushless Motor】Analysis of three-phase BLDC motor and sharing of two popular development boards
- Midea Industrial Technology's subsidiaries Clou Electronics and Hekang New Energy jointly appeared at the Munich Battery Energy Storage Exhibition and Solar Energy Exhibition
- Guoxin Sichen | Application of ferroelectric memory PB85RS2MC in power battery management, with a capacity of 2M
- Analysis of common faults of frequency converter
- In a head-on competition with Qualcomm, what kind of cockpit products has Intel come up with?
- Dalian Rongke's all-vanadium liquid flow battery energy storage equipment industrialization project has entered the sprint stage before production
- Allegro MicroSystems Introduces Advanced Magnetic and Inductive Position Sensing Solutions at Electronica 2024
- Car key in the left hand, liveness detection radar in the right hand, UWB is imperative for cars!
- After a decade of rapid development, domestic CIS has entered the market
- Aegis Dagger Battery + Thor EM-i Super Hybrid, Geely New Energy has thrown out two "king bombs"
- A brief discussion on functional safety - fault, error, and failure
- In the smart car 2.0 cycle, these core industry chains are facing major opportunities!
- The United States and Japan are developing new batteries. CATL faces challenges? How should China's new energy battery industry respond?
- Murata launches high-precision 6-axis inertial sensor for automobiles
- Ford patents pre-charge alarm to help save costs and respond to emergencies
- New real-time microcontroller system from Texas Instruments enables smarter processing in automotive and industrial applications
- DM6446 DSP end program optimization
- MPXV2202DP connected to IN132 output abnormality, I don't know how to deal with it
- A beautiful frame diagram
- CES 2021 Complement Event Activity Recognition on IMU with Machine Learning Core
- Tektronix Prize-giving Event | Popular Applications of Semiconductor Materials and Device Test Technology
- Free shape LED ball
- Internet of Things vs Industrial Internet of Things: 10 Differences That Matter
- The stm32f030c8t6 chip crashes as long as it fetches data during an interrupt
- 【Arduino】168 sensor module series experiments (219) --- INMP441 omnidirectional microphone
- Technology Live: LPC55S69, designed to prevent hackers, helps you build secure edge nodes at low cost (share and win 20E coins)