Abstract: Visual-inertial odometry (VIO) is widely used in autonomous driving, robots, and drones in global navigation satellite system (GNSS)-denied environments. Current VIO methods primarily rely ...

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STEVENS POINT, Wis. – The Stevens Point Plan Commission and Historic Preservation Commission reviewed a proposed $15 million city hall complex on Ellis Street on Monday night. According to our ...

Abstract: For robots operating in the GPS-denied environment, visual inertial simultaneous localization and mapping (VI-SLAM) is a popular solution for localization. However, under challenging ...

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Abstract: Mainstream visual-inertial SLAM systems use point features for motion estimation and localization. However, point features do not perform well in scenes such as weak texture and motion blur.

Abstract: In this letter, we present a direct visual odometry (VO) using points and lines. Direct methods generally choose pixels with sufficient gradients to ...

Abstract: In this letter, we introduce HPGS-SLAM, a real-time RGB-D SLAM system guided by hybrid point features (combining traditional and learned point features), enabling high-precision tracking and ...

Abstract: The pose-only Kalman filter (PO-KF) for visual-inertial odometry (VIO) has demonstrated comparable localization accuracy to optimization-based systems while retaining the computational ...

Abstract: Visual-inertial odometry (VIO) can estimate robot poses at high frequencies but suffers from accumulated drift over time. Incorporating point cloud maps offers a promising solution, yet ...