Visual Mapping System with LiDAR-Based SLAM

Visual mapping is critical for autonomous robots and agents to accurately perceive, understand, and navigate their operating environments. This visual mapping system combines a LiDAR data acquisition IC for 2D/3D object detection and measurement with a high-performance, Linux-based compute platform to enable spatial and visual perception for robotic platforms. When paired with camera sensors that enhance and capture rich contextual details—such as color, texture, and object recognition—and an inertial measurement unit's (IMU's) motion cues, this integrated multi-sensor visual mapping system delivers superior situational awareness and enables safer, more reliable autonomous navigation in complex, dynamic environments.

System Benefits:

• Support for advanced mapping and localization algorithms such as SLAM
• Flexible compute platform supporting Linux- and ROS-based development
• Power design that supports ultra-high frequency LiDAR polling
• Robust power design operating from a single 24V battery