RoboSense will provide RS-LiDAR-M series LiDARs for a number of FAW Toyota's best-selling models, promising accurate sensing capabilities for vehicles.

-backed LiDAR maker RoboSense has entered into a partnership with Toyota, as the world's largest automaker is poised to use the important component for driver assistance systems in its future models.

RoboSense said on February 6 that it reached a supply partnership with Toyota to provide LiDARs for the latter's multiple models, making it the first Chinese LiDAR maker to enter Toyota's supply chain.

The LiDAR maker will supply the RS-LiDAR-M series LiDARs for a number of best-selling models from Toyota's joint venture in China, FAW Toyota, which is expected to provide accurate sensing capabilities for vehicles, according to a press release from RoboSense.

The RS-LiDAR-M series is one of the first second-generation solid-state LiDARs to begin delivery worldwide, using a chip-based 2D scanning solution that claims high performance and high reliability.

(Image credit: RoboSense)

To date, the RS-LiDAR-M series has secured orders for more than 50 models from nearly 20 automakers, with an expected order volume of more than 10 million units, RoboSense said.

Toyota is the world's largest carmaker by sales volume, with 10.5 million units sold in 2022. The Japanese auto giant has joint ventures in China with FAW, GAC and BYD.

RoboSense entered into a supply partnership with BYD at the end of 2021, and the partnership with Toyota represents its latest achievement in expanding its customer base.

RoboSense was founded in 2014 and its RS-LiDAR-M1, the world's first mass-produced solid-state LiDAR, began mass production and delivery in June 2021.

RoboSense demonstrated the new product RS-LiDAR-E1 at its Tech Day event on November 7, 2022, and the product will begin mass production in the second half of 2023.

The E1 has no internal moving parts, balancing LiDAR detection performance, cost and reliability while allowing for a reduced parts count, the company said at the time.