SHENZHEN, China–(BUSINESS WIRE)–Aug 4, 2020–
RoboSense http://www.robosense.ai/, the leading provider of smart LiDAR sensor, today launched an 80 laser-beam 3D sensing LiDAR ready for customer delivery with early-bird price of $12,800 (limited offer till 31 st August, 2020), and standard price of $15,800. The timing of announcing this favorable package also marks the company’s 6-year anniversary. The performance of the RS-Ruby Lite is close to that of the 128 laser-beam LiDAR RS-Ruby, with a vertical angular resolution of 0.1 degrees and [email protected]% ranging ability (with the longest detection range of 230 meters), making it suitable to address medium-and-high-speed autonomous driving applications with a price much more affordable to accelerate the commercialization of smart and safe transportation.
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The RS-Ruby Lite’s on-vehicle road-test point cloud image (Photo: Business Wire)
Inheriting The Superb Performance Of The 128 Laser-Beam LiDAR RS-Ruby
The RS-Ruby Lite has inherited the superb performance from the 128 laser beams LiDAR RS-Ruby, whereas, it collects reduced amounts of but essential data of the environment and has lower requirements on the bandwidth(to 75%), perfectly fulfills environment sensing requirements of self-driving passenger cars, driverless mining cars, driverless trucks, vehicle-to-infrastructure, etc.
- 0.1° Vertical Angular Resolution
To date, 0.1° vertical angular resolution is the highest standard among all mechanical LiDARs available on the global market. The 80 laser-beam LiDAR RS-Ruby Lite also boasts an ultra-high angular resolution of 0.1° with 40 laser beams scanning the front area of the car.
- 160m Measurement Range @10% Reflectivity
The RS-Ruby Lite can detect objects even in 230 meters away.
- Reflection Intensity Reaches A Perfect Balance Of Consistency And Distinction
Inheriting from the RS-Ruby’s advanced hardware and signal processing technology, the reflection intensity of RS-Ruby Lite reaches a perfect balance between consistency and distinction, further facilitating accurate road sign extraction and localization.
- Anti-Interference Capability Under Multi-LiDAR Jamming & Various Ambient Lights
With special laser encryption technology to filter interference signals, the RS-Ruby Lite addresses interference under multi-LiDAR jamming & various ambient lights.
Availability And Pricing
Thanks to the proven technology platform of the 128 laser-beams LiDAR RS-Ruby and the modular design, the mass-production-ready RS-Ruby Lite is able to benefit from much lower material and process costs. The sensor has undergone a large number of verification and reliability tests and is proved with outstanding stability and reliability. The product is also backed with sufficient production capacity.
High resolution and performance LiDAR sensor with affordable price is the key to move medium-and-high-speed autonomous driving projects from R&D towards commercial viability. The RS-Ruby Lite is the most competitive and cost-effective high laser-beam LiDAR, making it ideal for medium-and-high-speed autonomous driving applications.
The RS-Ruby Lite is available for sale and ready for delivery. For orders please visit www.robosense.ai/buy or contact a RoboSense account manager.
Founded in 2014, RoboSense (Suteng Innovation Technology Co., Ltd.) is the leading provider of Smart LiDAR Sensor Systems incorporating LiDAR sensors, AI algorithms and IC chipsets, that transform conventional 3D LiDAR sensors to full data analysis and comprehension systems. The company’s mission is to possess outstanding hardware and artificial intelligence capabilities to provide smart solutions that enable robots (including vehicles) to have perception capability more superior to humans.
Attracted an all-star team from leading corporations and institutions around the world, there are 500+ employees in 6 global locations-Shenzhen, Beijing, Shanghai, Suzhou, Stuttgart, and Silicon Valley to support RoboSense’s fast-growing in innovation and development. Until 2019, RoboSense owns more than 500 patents globally.
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PUB: 08/04/2020 02:00 PM/DISC: 08/04/2020 02:01 PM
Copyright Business Wire 2020.