東芝情報システム Product Lineup

Are there any challenges related to "self-localization and environmental recognition (SLAM)" in manufacturing sites and autonomous systems? ● Unable to determine self-location in factory or indoor environments where GPS cannot be used ● Decreased localization accuracy due to environmental changes (lighting, layout changes) ● High-precision self-localization is computationally intensive and cannot operate in real-time ● Difficulties in integrating multiple sensors such as cameras, IMUs, and odometry 　　　　　　　　　　　　　▼ Leave it to our SLAM solution! ――― Features ―――――――――――――――――――――― ◆ Visual SLAM that operates with low resources ◆ Improved accuracy and robustness through sensor fusion ◆ Recognition of the surrounding environment using surrounding map generation functionality ――――――――――――――――――――――――――― SLAM is a technology that allows mobile entities (AGVs and autonomous systems) to map their surrounding environment while moving and to identify their own location. It observes features in the environment, estimates self-location based on that information, and simultaneously creates an environmental map. Our company primarily develops self-localization technology/SLAM using cameras.