What is 3D LiDAR SLAM Technology?
Keywords: 3D LiDAR SLAM technology; LiDAR-based SLAM; Simultaneous Localization and Mapping (SLAM); LiDAR sensors for SLAM; LiDAR 2D SLAM; LiDAR 3D SLAM; Visual SLAM; Multi-line
Hybrid Solid-state LiDAR can be classified into four types according to the scanning mode, which are :
In order to recognize the scanning detection pattern, the transceiver module remains motionless while the motor reflects the beam to a certain area of space while driving the rotating mirror.
A MEMS micro vibrating mirror is integrated on the silicon chip, suspended between torsion bars at a certain harmonic frequency, and the rotating mirrors reflect the laser's beam to perform scanning. However, a large mirror MEMS microvibrator suspension beam material has fatigue problems, which cannot pass impact, vibration, high and low temperatures, and other automotive certifications, causing service life instability.
Through non-repetitive scanning, the field of view coverage can be close to 100% with increased scanning time; however, its high speed, short service life, low reliability, and non-repetitive scanning cannot be used to match automatic driving algorithms.
More often used on LiDAR with 1550nm light source. The 1550nm light source is a fiber laser, which is large in size. In order to reduce the size of the LiDAR and achieve high-precision scanning of multiple beams, a mechanical oscillator is used to achieve vertical angle scanning coverage.
LS128S1 & LS256S1
Long-range Hybrid Solid-state LiDAR based on vehicle automotive standard, which adopts LSLIDAR’s in-house 1550nm fiber laser, with better range performance and point cloud density performance, the longest range is 500m, the measurement accuracy is ±3cm, the FOV is 120°(H)x25°(V), the minimum vertical angle resolution is up to 0.1°(10Hz), and the point measurement rate is up to 3,332,000 points/sec. Can control the cost well because of the LSLiDAR’s self-produced core fiber laser and optical components.
CH128 series
Combines the various requirements of OEMs for automotive front-mounted autonomous driving systems, and repeatedly testing the products, integrating the stable and reliable sensing performance of the original CH series with the size, power consumption, functional safety and cost required by OEMs, and passed a series of rigorous tests.
CX128S1
Based on the major technical breakthrough made by LSLIDAR in the miniaturization technology of vehicle specification high-beam Hybrid Solid-state LiDAR, which not only meets the requirements of long-range detection and sensing performance in autonomous driving, but also has a mini size, which is suitable for embedding in the roof or front security position, and better fits the aesthetic needs of passenger car design.
CB64S1
Large field of view LiDAR is designed to clear blind areas, with a super wide field of view of 180°x40° and accurate measurement accuracy. It can efficiently identify obstacles in the close range and bring accurate environmental perception to the blind areas of cars, robots and AGVs.
CH64 and CH32/16
CH32 Hybrid Solid-state LiDAR has passed the series of tests of the National Center for Automotive Quality Supervision and Inspection, including climate and chemical characteristics, mechanical characteristics, electrical characteristics, etc., and many of them have reached the Class A standard, becoming the first LiDAR in China and the second in the world to be certified by automotive regulations.
Keywords: 3D LiDAR SLAM technology; LiDAR-based SLAM; Simultaneous Localization and Mapping (SLAM); LiDAR sensors for SLAM; LiDAR 2D SLAM; LiDAR 3D SLAM; Visual SLAM; Multi-line
Recently, the Huawei Connect 2023, themed “Accelerating Industry Intelligence,” kicked off in Shanghai. Hu Xiaobo, Chairman of LSLiDAR, was invited to participate in the sub-forum
Traditional coal mining methods have a series of problems, such as frequent mining disasters, high labor costs, dangerous working environments, and difficulties in improving mining
Keywords: 3D SLAM forklifts; driverless forklifts; automated handling solutions; autonomous navigation; obstacle avoidance; cargo recognition; 3D LIDAR positioning; high-precision localization; indoor forklifts; outdoor forklifts; industrial
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Thank you very much for your approval of LSLiDAR, we will do our best to serve you ! We will respond to your intended needs within 24 hours, thank you for your support.