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Home Technology Sensors and Instrumentation

China’s first automotive-grade solid-state LiDAR ready for mass production

Gigi Onag by Gigi Onag
March 17, 2021

RoboSense has launched what it claims to be  China’s first automotive-grade solid-state LiDAR production line, which is set to go live in Q2 this year. The start mass production and delivery of the automotive-grade solid-state LiDAR RS-LiDAR-M1 are geared for contract projects

The Shenzhen-based company officially unveiled the SOP version of the automotive-grade LiDAR RS-LiDAR-M1 in January during the annual CES event. The new LiDAR system 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. In December last year, the RS-LiDAR-M1 samples were shipped to this OEM customer in batches, and became the world's first mass-production-ready automotive-grade MEMS solid-state LiDAR delivered.

Already, Inception Technology, which aims to build a nationwide freight network using autonomous driving truck in China, has recently released its latest Xuanyuan system equipped with RoboSense’s solid-state LiDAR. The two Chinese firms have a partnership to mass produce L3 heavy-duty freight truck equipped with "Xuanyuan" system, which will be launched on the market by the end of 2021.

Established in April 2018, Inceptio focuses on the transformation of line-haul logistics by providing a more secure, efficient, and economical Transportation-As-A-Service (Taas) to logistic customers. This is achieved by delivering automotive grade L3/L4 autonomous driving software/ hardware, developed in collaboration with major automotive manufacturers, fully integrated with mass-produced heavy-duty freight trucks.

RoboSense, on the other hand, provides smart LiDAR sensor systems that integrate LiDAR sensors with AI algorithms and IC chipsets. This transforms conventional 3D LiDAR sensors to full data analysis and comprehension systems.  Founded in 2014, it provides customers with various Smart LiDAR perception system solutions, including the MEMS and Mechanical types LiDAR HWs, fusion HW unit, and the AI-based fusion systems. To date, the company’s LiDAR systems have been widely applied to the future mobility, including autonomous driving passenger cars, RoboTaxi, RoboTruck, RoboBus, automated logistics vehicles and intelligent road by domestic and international autonomous driving technology companies, OEMs, and Tier1 suppliers.

From 2019, RoboSense has reached in-depth cooperation with Inceptio  to provide automotive-grade MEMS solid-state LiDAR RS-LiDAR-M1 for Inceptio’s "Xuanyuan" system, the first full-stack self-developed autonomous trucking system for mass production.

Inceptio develops the ULRS (ultra-long-range sensing), ARC (adaptive robust control) and FEAD (fuel-efficient autonomous driving) algorithms, and the ULRS can make the system perceive an ultra-long distance of up to 1,000 meters with a margin of error standing below 5%.

In June 2019, Inceptio has worked with Dongfeng Trucks and SINOTRUK respectively to developed L3 autonomous heavy-duty trucks. By the end of 2021, the mass-produced L3 heavy-duty trucks equipped with Inceptio’s "Xuanyuan" system with RoboSense LiDAR inside will be delivered to clients.

Related:  Sierra Wireless to focus on higher-margin IoT solutions
Tags: automotive technologyautonomous vehiclesChinaInceptio TechnologylidarsRoboSensesensorstransportation and logistics
Gigi Onag

Gigi Onag

Gigi has more than 15 years of experience in technology journalism, covering various aspects of enterprise IT and telecommunications from both business and technology perspective. Before joining CXOCIETY as editor for FutureIoT in July 2019, she was assistant editor of ComputerWorld Hong Kong. Based in Hong Kong, she started with regional IT publications under CMP Asia (now Informa), including Asia Computer Weekly, Intelligent Enterprise Asia and Network Computing Asia and Teledotcom Asia. She had contributed articles to South China Morning Post, TechTarget and PC Market among others.

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