258 citations · 340 across the 5 of their papers we have counts for
5 papers
SelfOdom: Self-supervised Egomotion and Depth Learning via Bi-directional Coarse-to-Fine Scale Recovery
Hao Qu, Lilian Zhang, Xiaoping Hu +3
Accurately perceiving location and scene is crucial for autonomous driving and mobile robots. Recent advances in deep learning have made it possible to learn egomotion and depth fr…
EMA-VIO: Deep Visual-Inertial Odometry with External Memory Attention
Zheming Tu, Changhao Chen, Xianfei Pan +3
Accurate and robust localization is a fundamental need for mobile agents. Visual-inertial odometry (VIO) algorithms exploit the information from camera and inertial sensors to esti…
Underwater Doppler Navigation with Self-calibration
Xianfei Pan, Yuanxin Wu
Precise autonomous navigation remains a substantial challenge to all underwater platforms. Inertial Measurement Units (IMU) and Doppler Velocity Logs (DVL) have complementary chara…
Velocity/Position Integration Formula (II): Application to Inertial Navigation Computation
Yuanxin Wu, Xianfei Pan
Inertial navigation applications are usually referenced to a rotating frame. Consideration of the navigation reference frame rotation in the inertial navigation algorithm design is…
Velocity/Position Integration Formula (I): Application to In-flight Coarse Alignment
Yuanxin Wu, Xianfei Pan
The in-flight alignment is a critical stage for airborne INS/GPS applications. The alignment task is usually carried out by the Kalman filtering technique that necessitates a good…