LiDARs · RoboSense

    Bpearl

    RS-Bpearl, the close-range LiDAR developed by RoboSense, is the world leading LiDAR for monitoring blind spot. It is particular utilized in and perception of environment for autonomous driving

    ₹2,45,499Excl. GST

    Specifications

    Technical Specifications

    Product Features

    Technical features and specifications for Bpearl
    FeatureValue
    Field of View (FOV)360° (horizontal) × 90° (vertical) ​
    Laser Channels32 beams ​
    Rangefrom 0.1m to 30m (reflectivity 10%) ​
    Accuracy±3 cm (typical valu)​
    Power Consumption13 W (typical) ​
    DimensionsDiameter 100 mm × Height 111 mm ​
    Weight0.92 kg(without cable) ​
    Operating Temperature-30 ℃~+60 ℃​
    Ingress ProtectionIP67 ​

    Overview

    RoboSense Bpearl Solid-State LiDAR for Blind Spot Detection & ADAS

    The RoboSense Bpearl LiDAR is an advanced solid-state 3D LiDAR sensor designed for ADAS, vehicle perception, automotive safety, and intelligent mobility applications. Its automotive-grade sensing technology delivers accurate environmental perception, real-time object detection, and high-quality point cloud generation for next-generation vehicle systems. Built for applications requiring blind spot detection, obstacle detection, collision avoidance, and enhanced vehicle awareness, the RoboSense Bpearl provides reliable sensing performance and improved situational awareness. Its compact solid-state LiDAR architecture helps improve driving safety, navigation accuracy, and intelligent decision-making. The RoboSense Bpearl LiDAR is well suited for autonomous vehicles, advanced driver assistance systems, intelligent transportation projects, and smart mobility platforms. Its advanced sensing capabilities support real-time environmental monitoring, traffic awareness, vehicle perception, and autonomous operation. With precise spatial awareness, dependable sensing performance, and advanced automotive-grade LiDAR technology, the RoboSense Bpearl enables safer driving, enhanced ADAS functionality, and improved transportation intelligence across a wide range of mobility applications.