Tianxiang Lin — accepted AI-conference papers

2025

Acoustic Neural 3D Reconstruction Under Pose Drift

Tianxiang Lin, Mohamad Qadri, Kevin Zhang, Adithya Pediredla, Christopher A. Metzler, Michael Kaess

IROS 2025

We consider the problem of optimizing neural implicit surfaces for 3D reconstruction using acoustic images collected with drifting sensor poses. The accuracy of current state-of-the-art 3D acoustic modeling algorithms is highly dependent on accurate pose estimation; small errors in sensor pose can l

Cited by 3 Source ↗Scholar ↗

2023

Conditional GANs for Sonar Image Filtering with Applications to Underwater Occupancy Mapping

Tianxiang Lin, Akshay Hinduja, Mohamad Qadri, Michael Kaess

ICRA 2023poster

Underwater robots typically rely on acoustic sensors like sonar to perceive their surroundings. However, these sensors are often inundated with multiple sources and types of noise, which makes using raw data for any meaningful inference with features, objects, or boundary returns very difficult. Whi…

Cited by 8 Source ↗Scholar ↗