RoboSense announced the RS-IPLS Intelligent Perception LiDAR system, a hardware and software algorithm based solution for the mass production of autonomous cars. An autonomous driving system, the RS-IPLS features real-time data pre-processing and a “gaze” function similar to human eyes.
The RS-IPLS system, based on MEMS solid-state LiDAR, outputs the color point cloud data by merging the underlying hardware of 2D imagery with the RoboSense RS-LiDAR-Algorithm deep learning sensing algorithm developed specifically for autonomous driving. The detection algorithm achieves target level information that adjusts the Region of Interest (ROI) detection area in real-time with no delay.
The RS-IPLS features the 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 environmental data. The LiDAR under-the-system architecture maintains a degree of vigilance of the surrounding environment, constantly capturing the areas of interest, allowing the “gaze” to transfer feedback in the field of view.
The RoboSense RS-IPLS Intelligent Perception LiDAR system also provides 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 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.
For more information, visit RoboSense website.