RoboSense Releases the Latest Version of its Sensor Evaluation System for Autonomous Driving
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.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20210209005689/en/
(Photo: Business Wire)
While the evaluation function modules can be liked to an exam, the ground truth data is the "answer" for the evaluation of the perception system. Therefore, the accuracy of ground truth data must be significantly higher than the device under test (DuT) in all aspects including detection performance and geometric error.
The ground truth data, usually stored in the PB-Level, includes dynamic information such as obstacle types, speeds, and locations, and static information such as lane lines and road boundaries.
Data labeling quality and data generation efficiency are the key factors to ground truth data.
- The RS-Reference system provides a set of ground truth data generation and evaluation solutions, and outputs detection performance and geometric error indicators with a labeling efficiency close to 1:1. This is significantly more accurate than real-time perception, manual labeling and traditional labeling tools.
- High performance and mature sensor data collection system: the RS-Reference system contains the RoboSense 128-beam LiDAR RS-Ruby, Leopard camera, Continental 408 millimeter-wave radar, GI-6695 RTK, and two added RoboSense RS-Bpearl LiDAR for near-field blind spots in the 2.1 version.
- Detached roof-mounted deployment without vehicle body modification: the RS-Reference system adapts to different vehicle sizes, does not occupy the sensor installation position of the DuTs, and directly evaluates the intelligent driving system that is consistent with the sensor sets of commercial vehicles.
- Vastly improved/accumulated perception algorithm and offline processing mechanism: The algorithm is key to smart labeling instead of manual labeling, and is responsible for the extraction of ground truth data. The RS-Reference system uses a customized and dedicated offline perception algorithm, which is the product of RoboSense’s 13+ years’ of accumulated experience of LiDAR sensing algorithm technology. It performs a “full life process tracking and identification" for each obstacle data, and extracts all ground truth data from each frame. The RS-Reference system can pick up speed and acceleration labeling, and accurately delineate the size of the labeling frame through comprehensive shape and size information. The system is also capable of accurately dividing obstacles that are in close proximity to each other in complex scenes.
- Full-stack evaluation tool chain: it includes data collection tools, sensor calibration tools, visualization tools, manual verification tools, evaluation tools, etc. The 2.1 version upgrades the data management platform and adds the scene semantic labeling function that serves every step of the evaluation process.
- Individual sensor evaluation in the multi-sensor fusion system: not only can the RS-Reference system evaluate the result of intelligent driving's perception fusion, but it can also provide targeted solutions based on the features of different types of sensors such as LiDAR, millimeter wave radar, and camera. Dedicated or customized tool modules can be developed according to customer needs for further in-depth analysis of the performance of the sensing system.
- Extended application value of the RS-Reference: includes planning and control algorithm development support, which is able to generate massive ground truth data to build simulation scenes, and can evaluate road-side perception systems.
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/20210209005689/en/
Contact information
Cassie Gong
sqgong@robosense.ai
86-15507590175
About Business Wire
For more than 50 years, Business Wire has been the global leader in press release distribution and regulatory disclosure.
Subscribe to releases from Business Wire
Subscribe to all the latest releases from Business Wire by registering your e-mail address below. You can unsubscribe at any time.
Latest releases from Business Wire
NIQ Launches New Brand Traction Score Designed to Reveal How Effectively FMCG Brands Convert Shelf Presence Into Real Consumer Purchases18.11.2025 13:45:00 EET | Press release
Coca-Cola has been recognised as the top FMCG brand in Western Europe for its success in driving conversions, according to NielsenIQ (NIQ)’s Brand Traction Score, a new metric that measures how effectively brands convert their shelf presence into actual consumer purchases. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20251118769598/en/ NIQ Brand Traction Score The NIQ Brand Traction Score combines two of NIQ’s most powerful data sources: insights from its Consumer Panel, which tracks how frequently shoppers buy a brand, and its Retail Measurement data, which captures how widely and deeply that brand is distributed across stores. This strategy saw some of the top-performing brands grow by 40% due to expanding their presence, with more than 60% of their unit growth coming from households adding these brands to their category repertoire. There was also growth (18%) from existing buyers expanding their brand and category purchas
Barilla Opens Its New Innovation Center to Drive Food Innovation Worldwide18.11.2025 13:37:00 EET | Press release
How can we bring the excellence of Italian culinary tradition into the future? How can we transform everyday products into experiences that surprise the senses, create emotions, and accompany people in moments of pleasure, sharing, and discovery? The answer for Barilla Group is the Barilla Innovation & Technology Experience (BITE) in Parma, marking the company’s most significant investment in food innovation in recent years. With almost 14,000m², more than €20 million invested and an additional €2 million per year dedicated to equipment upgrades, BITE stands as a global hub designed to foster development across the Group’s portfolio. Pasta, sauces, and bakery become a territory of exploration here, where research and technology serve Barilla's passion for good food. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20251118376430/en/ Guido, Paolo and Luca Barilla. © Barilla Rooted in an approach of collaboration with leading inte
HP Becomes Sisvel Wi-Fi 6 Pool Licensee, Ending Disputes with Wilus, Huawei and Philips18.11.2025 11:58:00 EET | Press release
HP Inc and Sisvel have concluded an agreement for the Palo Alto-based global technology leader to become a licensee of the Sisvel Wi-Fi 6 patent pool. The deal follows a mediation process ordered by Judge Rodney Gilstrap, of the US District Court for the Eastern District of Texas, as part of patent infringement litigation brought against HP by Wilus Institute of Standards and Technology, a licensor in the pool. The agreement not only ends the Wilus suit, but also actions launched against HP by other Sisvel Wi-Fi 6 pool licensors, Huawei and Philips. HP now has one-stop access to approximately 2,000 patents (245 patent families) recognised to date, through the pool’s process of independent patent evaluations, as essential to the 802.11ax Wi-Fi 6 standard. Close to 40 entities license the patents in the Sisvel Wi-Fi 6 patent pool. In addition to HP Inc, these include other recent additions such as Cisco, Netgear and Acer. “We are grateful to HP for the constructive way in which they enga
Europe's GetVocal raises $26m to scale trustworthy conversational agents for enterprises18.11.2025 11:00:00 EET | Press release
GetVocal, Europe’s leading provider of conversational AI agents for enterprise customer support, today announced the closing of a $26 million Series A investment round led by Creandum with participation from Elaia and Speedinvest, bringing GetVocal’s total fundraising to $30 million. GetVocal will use the funding to fuel product innovation, market expansion, and hiring across Europe as the company accelerates its mission to help enterprises build hybrid human-AI workforces. Founded in 2023 by AI entrepreneurs Roy Moussa and Antonin Bertin, GetVocal is headquartered in Paris, with a 60-strong team spread across Europe. It serves 23 markets, with a stronghold in France and Portugal, and a rapidly growing presence in the UK and DACH. The company tackles one of the biggest barriers to conversational AI adoption – the lack of trust and confidence in black-box autonomous systems – by building trustworthy, transparent, and governed AI agents that accelerate the customer experience (CX) market
Ant Group Unveils China’s First Multimodal AI Assistant with Code-Driven Outputs18.11.2025 10:05:00 EET | Press release
Ant Group today launched LingGuang, a next-generation multimodal AI assistant and the first of its kind in China that interacts with users through code-driven outputs. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20251117438567/en/ Equipped with the capability to understand and produce language, image, voice and data, LingGuang delivers precise, structured responses to complex queries through 3D models, audio clips, charts, animations, interactive maps, and even immediately generated applications, in addition to traditional text-based conversation. Designed around three key features, LingGuang aims to make complex knowledge simpler and more intuitive, transforming how users access information and interact with AI tools. Fast Research: LingGuang responds to user questions or keywords with dynamic, multimodal content, making research on any topic clearer and more engaging. Its 3D digital modeling capability transcends traditio
In our pressroom you can read all our latest releases, find our press contacts, images, documents and other relevant information about us.
Visit our pressroom