Lidar system launched by RoboSense features "gaze" function similar to human eyes

An autonomous driving system, the RS-IPLSfeatures 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, the system 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 object level information that adjusts the Region of Interest (ROI) detection area in real timewith no delay. 

The RS-IPLS features the new RoboSense RS-LiDAR-Gaze "Gaze" Technology.When the system perceives a target of interest in its field of view, 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 low level 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.

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 region 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.

"LiDAR needs a self-revolution. The market needs an automotive-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."