Production-ready lidar platform at a fraction of existing systems
Based on MEMS solid-state lidar, the RS-IPLS outputs high resolution color point cloud data by merging the underlying hardware of 2D imagery with the company’s proprietary 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 RS-IPLS features the new 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 clearer and more stable environmental data. 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 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 system is based on RoboSense’s solid-state lidar technology, the RS-lidar-M1pre (introduced at CES 2018), which combines the company’s RS-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.
In contrast to available lidar systems at the market which easily cost the equivalent of a complete middle-class vehicle, 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, the vendor claims.
More information: https://www.robosense.ai.
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