Srisai Anirudh Tangellapalli — accepted AI-conference papers

2025

RainforestDepth: Monocular Depth Estimation Targeting Rainforest Environments

Srisai Anirudh Tangellapalli, Joshua M. Peschel, Brittany A. Duncan

IROS 2025

The primary objective of this paper is to introduce a new monocular depth estimation (MDE) model targeting under-represented environments using a novel dataset combining synthetic and real images. The proposed model is small and fast to allow use for UAS navigation and data collection in rainforest

Cited by 0 Source ↗Scholar ↗

2024

Assessing Monocular Depth Estimation Networks for UAS Deployment in Rainforest Environments

Srisai Anirudh Tangellapalli, Harman Singh Sangha, Joshua Peschel, Brittany A. Duncan

IROS 2024poster

The primary objective of this study was to utilize state-of-the-art deep learning-based monocular depth estimation models to assist UAS pilots in rainforest canopy data collection and navigation. Monocular depth estimation models provide a complementary technique to other depth measurement and estim…

Cited by 1 Source ↗Scholar ↗