Six Upgrades to Guarantee L4 Self-Driving Operation! RoboSense Upgraded 128-beam LiDAR RS-Ruby Plus

RoboSense , a world-leading provider of Smart LiDAR Sensor Systems launched upgraded 128-beam LiDAR, RS-Ruby Plus , designed for autonomous driving commercial operation, and it debuted at CES2022. Nowadays, it obtained a large number of orders from multiple autonomous vehicle companies worldwide.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20220913005763/en/

Breaking through the limitations of the previous generation RS-Ruby，the RS-Ruby Plus adopts a new modular architecture design, which reduces its size and weight by 50% compared with the previous generation, and reduces power consumption to 30W, which is 33% lower than RS-Ruby. In the past two years, RS-Ruby has supported Momenta, IdriverPlus, DeepRoute.ai, AutoX, Mushroom Car Alliance and over thousands RoboTaxi fleets in pilot commercial operations with its stable and reliable operation performance.

Six Upgrades of RS-Ruby Plus：

1. Automotive-grade design for reliability as the reference

RoboSense developed a new architecture design for RS-Ruby Plus with reference to automotive-grade standards to ensure that the product passes tens of automotive-grade reliability tests including mechanical shock, random vibration, low temperature operation, high-pressure water impact and EMC.
Watch：RS-Ruby Plus passed dozens of reliability tests

2. Comprehensively improve the perception distance

RoboSense achieved a breakthrough in the detection range of 905nm LiDAR on the premise of ensured safety of human eyes. The product reached a super detection range of 240m @10% standard reflectivity (under 100,000 Lux sunlight environment) and the overall detection range performance improved by 20%.

In the high-performance mode, Ruby Plus can increase the horizontal angular resolution of 128 channels from 0.2° to 0.1° at 10Hz refresh rate, thus providing more point cloud information in the horizontal direction. Meanwhile, 104 channels 0.1° vertical resolution, including 32 channels ultra-long detection range. RS-Ruby Plus detects cars at 218 meters with 4 lines and 13 points.
Watch：RS-Ruby Plus point cloud in various scenarios

3. Detection capability of black-painted vehicles boosted

Empowered by the super detection range capability, RS-Ruby Plus greatly improving the detection and recognition capabilities of perception for black vehicles.

The road line detection capability of RS-Ruby Plus has been improved, it stably detects 85-90 meters, thus further improving the safety and user experience of autonomous vehicles when changing lanes and going up and down ramps.

4. Higher accuracy and finer imaging

Detection range accuracy improvement of RS-Ruby Plus

• Near-field area 0.4~3m, accuracy up to ±3cm (@100,000 Lux lighting environment)
• Far-field area 3~240m, accuracy up to ±2cm (@100,000 Lux lighting environment)

The higher accuracy of LiDAR, the more precise and clear the shape of small objects like stone piers, lampposts and traffic cones can be restored.

5. Comprehensive anti-interference

RS-Ruby Plus uses the latest laser encryption technology, RS-Ruby Plus effectively resists interference from other LiDARs and ambient light and sunlight (100,000 Lux lighting).

6. Automotive Ethernet, gPTP, PTP

RS-Ruby Plus has automotive Ethernet interface. The product supports both GPS synchronization and network synchronization (PTP and gPTP time synchronization) protocols, which greatly reduces data transmission delay and simplifies cable layout.

RoboSense will always employ more advanced technology innovations and feature ever superior performance to empower industry partners, support the comprehensive commercialization of autonomous driving.

Read More: RoboSense Upgraded 128-beam LiDAR RS-Ruby Plus

To view this piece of content from cts.businesswire.com, please give your consent at the top of this page.

View source version on businesswire.com: https://www.businesswire.com/news/home/20220913005763/en/

Contact information

Grace Ye
Media@robosense.ai