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LiDAR Tech Imitates Human Vision

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RoboSense has released an innovative LiDAR driving technology for mass-produced autonomous self-driving vehicles. Using solid-state hardware and a deep learning sensing algorithm, the RS-IPLS (RoboSense Intelligent Perception LiDAR System) features real-time data pre-processing with an observation function that imitates human vision.

The innovative technology is based on RoboSense’s MEMS solid-state LiDAR, which combines 2D imagery with the firm’s LiDAR algorithm developed explicitly for autonomous driving, creating a high-resolution color point cloud.

To perform its observation function, the RS-IPLS algorithm adjusts the Region of Interest (ROI) detection area in the point cloud, all in actual time and with no interruption. The ROI is a subgroup of an image recognized for a precise purpose: to help self-driving vehicles navigate or steer around nearby obstacles.

The RS-ILPS software will recognize obstacles. For example, an approaching cyclist or the open door of a parked vehicle and initiate an observation processing mechanism that locks the target for ROI processing. This gives the self-driving vehicle a clear, dynamic and stable read on the surrounding environment. Just like a human driver, it actively monitors those targets while executing routine driving actions, exactly how a human driver might pay more attention to the cyclist while keeping within traffic lanes.

The RS-IPLS system also provides richer three-dimensional spatial data information in real time. Data pre-processing is performed by the AI algorithm, with the ROI repeatedly detected for farther detection distance and more accurate perception results, therefore reducing tension on the software for data processing.

LiDAR technology is a key feature in the dependability and value of autonomous vehicles. Conventional LiDAR sensors are costly to build, challenging to minimize and are sensitive to a moving car’s vibrations. Solid-state LiDAR is a promising solution to this issue; being economical, safer and more stable to manufacture. Additionally, mechanical LiDAR products can cost around $80K while the RS-IPLS is priced at $200.

Mark Qiu, co-founder of RoboSense expressed: “The new RoboSense RS-IPLS is intelligent, accurate, lower cost, and faster; and is poised to take over the market.”

If the firm’s solid-state LiDAR can perform as publicized, it could mean that affordable self-driving vehicles are that much nearer to appearing in local car dealerships. With its observation function actively tracking possible dangers, it could make autonomous vehicles safer for passengers and pedestrians alike.

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