Then we develop MAR-VO, a monocular visual odometry system leveraging MAR to localize in planetary environments using feature extractor such as SuperPoint. To test the effectiveness in such scenarios, ...

To address these issues, Terra Drone developed “Terra Xross 1”, which integrates visual odometry sensors and Lidar for stable ...

M-LOAM is a robust system for multi-LiDAR extrinsic calibration, real-time odometry, and mapping. Without manual intervention, our system can start with several extrinsic-uncalibrated LiDARs, ...

Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) equipped with different sensors have recently become an important approach for fast and non-destructive high throughput phenotyping and have ...

Engineers have developed SUPER, a high-speed MAV, using 3D LiDAR and AI for real-time obstacle avoidance, cutting failure ...

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BodySLAM is a robust deep learning-based Simultaneous Localization and Mapping (SLAM) approach designed for endoscopic surgical applications. This framework effectively operates across various ...

The Baton drones are designed to meet military requirements for simplicity and reliability in difficult battlefield conditions.

(3) The model considers the effects of interactions among sub-areas in PFC on accelerating the learning process. (4) The proposed model can be easily applied to decision-making tasks in intelligent ...