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INSIGHTS

RoboSense launches intelligent autonomous driving LiDAR algorithm

RoboSense launches intelligent autonomous driving LiDAR algorithm
RoboSense has announced the RS-IPLS Intelligent Perception LiDAR system, the first hardware and software algorithm based solution for the mass production of safer autonomous cars.
RoboSense, a developer in LiDAR awareness technology solutions, announced the RS-IPLS Intelligent Perception LiDAR system, the first hardware and software algorithm based solution for the mass production of safer autonomous cars. A high performance autonomous driving system, the RS-IPLS features real-time data pre-processing and a “gaze” function similar to human eyes. The RoboSense system is inexpensive, 1/400th the price of traditional 64-line LiDAR systems, and is designed for the mass production of vehicles at a low price.

Based on MEMS solid-state LiDAR & AI algorithms

With more than 10 years algorithm developing experience of Robosense team, the RS-IPLS system, based on high-performance MEMS solid-state LiDAR, outputs the highest resolution color point cloud data by merging the underlying hardware of 2D imagery with the unique RoboSense RS-LiDAR-Algorithm deep learning sensing algorithm developed specifically for autonomous driving. The intelligent detection algorithm achieves target level information that adjusts the Region of Interest (ROI) detection area in real-time with no delay. 
 
The algorithm is based on the RoboSense team’s ten years of research and technology experience in the field of LiDAR environment-aware algorithms. In early 2017, RoboSense became the first LiDAR vendor in the world to introduce the laser-aerodynamic environment-aware RS-LiDAR-Algorithms, combined with LiDAR hardware to provide a large number of partners with P-series LiDAR solutions based on different application scenarios.

The“Gaze” technology

The innovative RS-IPLS features the new RoboSense RS-LiDAR-Gaze “Gaze” Technology. When the system’s field of view perceives a target of interest, it initiates a “gaze” processing mechanism that instantly locks the target for ROI processing, thus achieving the clearest and most stable environmental data. The LiDAR under-the-system architecture maintains a high degree of vigilance of the surrounding environment, constantly capturing the areas of interest, allowing the “gaze” to transfer efficient and high-quality feedback in the field of view.

Real-time with more accuracy and farther detection

The RoboSense RS-IPLS Intelligent Perception LiDAR system also provides richer three-dimensional spatial data information (X, Y, Z, R, G, B) in real-time from the bottom layer, which reduces the time delay normally caused by external fusion. Data pre-processing is performed by the AI algorithm, with the area of interest repeatedly detected for farther detection distance and more accurate perception results for autonomous driving, with reduced data processing stress to the central data processing unit.
 
The RoboSense RS-IPLS Intelligent Perception LiDAR System is based on the RoboSense solid-state LiDAR technology, the RS-LiDAR-M1pre (introduced at CES 2018), which combines the RoboSenseRS-LCDF LiDAR and camera fusion technology, the RS-LCDF technology, RS-LiDAR-Algorithms, and RS-LiDAR-Gaze technology. The RoboSense RS-IPLS pioneered the fusion of MEMS solid-state LiDAR technology with LiDAR-Cam deep fusion technology, AI sensing algorithm, and intelligent detection technology. The combination of these four technologies allows the LiDAR system to go beyond the sensor level, linking the sensor layer and the sensing layer at the system level, so that autonomous vehicles have similar abilities as the human visual system.

RS-IPLS – LiDAR’s self-revolution

"LiDAR needs a self-revolution. The market needs a car-grade product that can be mass produced in the tens and hundreds of thousands. You have to guarantee low cost and provide high performance to ensure the safety of your vehicle,” said Mark Qiu, RoboSense Co-founder. “This has driven us to create a whole new sensor system technology based on the perfect extraction of environmental information and large-scale perception of the environment, with the constant capture of areas of interest, focusing on effective information."
 
RoboSense RS-IPLS Intelligent Perception LiDAR system features: 
  • Accurate “gaze” function similar to human eyes: when the field of view perceives a target of interest, the RS-IPLS will initiate a “gaze” processing mechanism that instantly locks the target for Region of Interest (ROI) processing to achieve the clearest and most stable environmental data.
  • Safer driving with AI perception: an AI-aware algorithm specifically designed for autonomous driving. It improves the detection of distance, accuracy, and opacity of the target object, improving the safety of the self-driving vehicle for detection with less computing power.
  • Color point cloud with 3D dimension and RGB information: the technologies are fused to instantly detect two-dimensional color information onto 3D high-precision spatial data, providing color point cloud data after time and space synchronization, so RS-IPLS detects more details of road objects.
  • Highest resolution: the MEMS solid-state LiDAR RS-LiDAR-M1Pre provides the highest resolution.
  • Lowest cost: the RS-IPLS is low cost, priced for mass production at $200 USD, 1/400th the price of traditional LiDAR.
  • Real-time data with no delay: the intelligent detection algorithm achieves target level information that adjusts the ROI detection area in real-time with no delay. 
  • Farther distance & more accurate: richer three-dimensional spatial data information (X, Y, Z, R, G, B) reduces the time delay and provides further detection distance and more accurate perception.


Product Adopted:
Transportation
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