activity
20182026
most citedGANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks

132 citations · 167 across the 13 of their papers we have counts for

collaborators

14 papers

cs.LG2026

ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation

Vicky Feliren, A. Taufiq Asyhari, Muhamad Risqi U. Saputra

Uncertainty estimation for Vision-Language-Navigation (VLN) models is a critical task since it can help identify ambiguous and unreliable predictions, enabling agents to make safer…

cs.RO2022

OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum

Peize Li, Kaiwen Cai, Muhamad Risqi U. Saputra +4

This paper presents a multimodal indoor odometry dataset, OdomBeyondVision, featuring multiple sensors across the different spectrum and collected with different mobile platforms.…

cs.RO2021★ 1 cited

Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment

Zhuangzhuang Dai, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu +2

Ubiquitous positioning for pedestrian in adverse environment has served a long standing challenge. Despite dramatic progress made by Deep Learning, multi-sensor deep odometry syste…

cs.CV2021★ 1 cited

RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather

Jialu Wang, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu +2

Camera localization is a fundamental and crucial problem for many robotic applications. In recent years, using deep-learning for camera-based localization has become a popular rese…

cs.CV2021★ 3 cited

Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks

Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu, Pedro P. B. de Gusmao +3

Simultaneous Localization and Mapping (SLAM) system typically employ vision-based sensors to observe the surrounding environment. However, the performance of such systems highly de…

cs.CV2020

Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors

Zhuangzhuang Dai, Muhamad Risqi U. Saputra, Chris Xiaoxuan Lu +2

Positional estimation is of great importance in the public safety sector. Emergency responders such as fire fighters, medical rescue teams, and the police will all benefit from a r…