4 papers
A High-accuracy Event-based Underwater SLAM System
Yifan Peng, Qihang Liu, Haoying Li +3
While event cameras offer immense potential for underwater SLAM, existing Time Surface (TS)-based methods prove highly unreliable when deployed underwater. Fluctuating camera veloc…
Provably Guaranteed Polytopic Uncertainty Quantification for SLAM
Guangyang Zeng, Yulong Gao, Yuan Shen +4
In safety-critical robotics applications, guaranteed and practical uncertainty quantification (UQ) in perception is vital. Many existing works either offer no formal containment gu…
Supervisory Measurement-Guided Noise Covariance Estimation
Haoying Li, Yifan Peng, Xinghan Li +1
Reliable state estimation hinges on accurate specification of sensor noise covariances, which weigh heterogeneous measurements. In practice, these covariances are difficult to iden…
Supervisory Measurement-Guided Noise Covariance Estimation: Discussing Forward and Reverse Differentiation
Haoying Li, Yifan Peng, Yuchi Wu +1
Reliable state estimation depends on accurately modeled noise covariances, which are difficult to determine in practice. This paper formulates the noise covariance estimation as a…