A revolutionary RS-IPLS Intelligent Perception LiDAR system is 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 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 innovative RS-IPLS features the RoboSense RS-LiDAR-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.

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.

Traditional mechanical LiDAR is very expensive. The 64-line product currently being sold is officially priced at $80,000, more expensive than a brand new Tesla car! RoboSense’s mass production price of the RS-IPLS is only $200 USD, 1/400th of the traditional 64-line LiDAR, with a several thousand or even tens of thousands faster response speed. Traditional mechanical LiDAR consists of multiple sets of transmitters, receivers, precision optics, micro-control motors, and other components, which are difficult to manufacture and require expensive materials. In addition, due to difficulty of integration and optics, mechanical LiDAR not only has a long production cycle and high production costs, but also has a difficult time meeting the stability and reliability requirements of standard vehicles. Because of these reasons, traditional mechanical LiDAR technology has become inadequate.

VOTE NOW for the 2019 NED Innovation Awards!

Final winners will be announced at the 2019 Manufacturing & Technology Conference and Expo in Pittsburgh, PA, April 1-3.