In the 5G era, digital new infrastructure is growing vigorously. As a pioneer in the application of new infrastructure, smart transportation is gaining momentum. LiDAR plays an increasingly prominent role as a terminal sensor device in the field of intelligent transportation such as vehicle-road collaboration.

Recently, RoboSense has teamed up with partners such as Gosuncn, Datang Mobile, Matrix Software etc., based on their respective technological and ecological cooperation advantages to carry out in-depth cooperation in the fields of smart transportation and smart logistics. …


SHENZHEN,China — RoboSense LiDAR, the leading Smart LiDAR Sensor provider announced the second-generation intelligent solid-state LiDAR RS-LiDAR-M1 (referred to as “M1”) completed mass production and delivery to the designated project for the first time. Since the start of production (SOP) to vehicle manufacturer in June 2021, more than ten batches of deliveries have been completed. This is the first mass production of solid-state LiDAR in the world, and also marks the advent of “an era of mass production for LiDAR”.

Since July 2020, M1 has successively obtained designated cooperation orders for a number of mass-produced models around the world, including…


Don’t Miss Out on The Biggest Discount On RoboSense LiDAR

Posted by RoboSense News: RoboSense LiDAR Festival

The “RoboSense LiDAR Festival” is aimed to celebrate the market achievement and express sincere thanks to customers. We provide the biggest-discount-ever of high-performance 3d laser LiDAR to advance self-driving safety and commercialization of all robotics and autonomous driving applications. The Limited-time offer LiDAR series include 128 beams LiDAR RS-Ruby, short-range blind spot detection LiDAR RS-Bpearl, and 16 lasers LiDAR RS-LiDAR-16. Click the purchase intention link to get more information and we will respond to your intended needs within 24 hours.

Low price and high-performance LiDAR Series

RoboSense’s mission is…


How does the M1 perform in heavy snow, cold wind weather (-18℃~-23℃)?

March 25, 2021, Shenzhen, RoboSense (https://robosense.ai/), the automotive-grade smart LiDAR supplier, today released a sensing performance test video of the automotive-grade solid-state LIDAR RS-LiDAR-M1 (the SOP version) in extremely challenging snowy cold weather (-18℃~-23℃) in China’s northeast region. It is also the first cold winter test of automotive-grade solid-state LiDAR.

The RS-LiDAR-M1 were mounted and tested on the passenger car and the L3 heavy-duty freight truck of Inceptio Technology in China’s northeast region including Yakeshi, Inner Mongolia, and Heihe, Heilongjiang. …


Integrating LiDAR scanners into self-driving vehicles is undoubtedly the most discussed topic in the field of intelligent driving in 2021. It’s a uniform understanding of the automotive industry that the excellent perception capability of 3D LiDAR sensor will make autonomous driving and smart transportation safer and more comfortable.

However, the questions are how much the added high-resolution LiDAR can help to improve the perception capability of the whole intelligent perception system? Will it meet the expectation of the industry? How exactly is the overall performance of the multi-sensor fusion system of 3D laser LiDAR, camera and millimeter-wave radar?

The real-time point cloud of automotive-grade solid-state LiDAR M1, which will start mass production and delivery to OEMs in Q2

The best…


RoboSense And Inceptio Announced Cooperation On Mass Production Of L3 Heavy-duty Trucks

Shenzhen (China), March 12, 2021 RoboSense(https://robosense.ai/) announced the launch of China’s first automotive-grade solid-state LiDAR production line and would start mass production and delivery of the automotive-grade solid-state LiDAR RS-LiDAR-M1 for contract projects in Q2 this year.

At the CES2021 in January this year, RoboSense has officially unveiled the SOP version of the automotive-grade LiDAR RS-LiDAR-M1, which features a slim design, excellent performance, and reliable point cloud quality. Since July last year, the RS-LiDAR-M1 has successively received a number of orders for mass-production vehicle models around the…


Shenzhen (China), March 12, 2021 — RoboSense(https://robosense.ai/) announced the launch of China’s first automotive-grade solid-state LiDAR production line and would start mass production and delivery of the automotive-grade solid-state LiDAR RS-LiDAR-M1 for contract projects in Q2 this year.

At the CES2021 in January this year, RoboSense has officially unveiled the SOP version of the automotive-grade LiDAR RS-LiDAR-M1, which features a slim design, excellent performance, and reliable point cloud quality. Since July last year, the RS-LiDAR-M1 has successively received a number of orders for mass-production vehicle models around the world, among which, the first customer was an OEM from North America…


How 3D laser LiDAR solve the problems of autonomous vehicle’s near-field detection of blind spots?

According to the global status report on road safety from the World Health Organization, approximately 1.35 million people died in traffic accidents in 2018, and 3,700 people died in car accidents every day, that’s to say, around 3,700 people died in car accidents every day. Nevertheless, almost all of these injuries and deaths were caused by human error. As one of the most important future technologies in the 21st century, we believe that self-driving cars will effectively eliminate accidents that are caused by human error.


RS-Reference 2.1 Can Efficiently Evaluate the Performance of the LiDAR and Multi-Sensor Fusion Sensing System

[Shenzhen, China] RoboSense LiDAR (https://robosense.ai/) today released the latest version of the ground truth data system and evaluation tool chain RS-Reference 2.1, used for LiDARs and multi-sensor fusion systems performance evaluation. The original RS-Reference version was launched in the market in 2016, when the automotive-grade MEMS solid-state LiDAR RS-LiDAR-M1 project was established. Used by global OEMs and Tier1s, the system has been continuously improved and upgraded with more efficient and useful evaluation function modules and software tool chains.

While the evaluation function modules can…


Point Cloud Quality Is The Key Criteria in Evaluating LiDAR Performance

When talking about 3D LiDAR performance, it’s universally agreed that the parameters of LiDAR are important. Nevertheless, parameters are just the “fundamentals”! When working in complex traffic scenarios, LiDAR for self-driving cars needs to tackle various extreme working conditions comprised of high reflectivity objects, near-field obstacles, strong ambient light (direct sunlight), and interference from other LiDAR sensors, etc., which any of them may cause abnormal to the point cloud that may “fool” the processing algorithms and furthermore lead to tragic accidents. These extreme working conditions are “Corner Case”. …

RoboSense LiDAR

The Leading Provider of Smart LiDAR Sensor Systems for Autonomous Vehicles and Robotics

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