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Yumi Iwashita

7 accepted papers

2026

DRUM: Diffusion-Based Raydrop-Aware Unpaired Mapping for Sim2Real LiDAR Segmentation

ICRA 2026poster

LiDAR-based semantic segmentation is a key component for autonomous mobile robots, yet large-scale annotation of LiDAR point clouds is prohibitively expensive and time-consuming. Although simulators can provide labeled synthetic data, models trained on synthetic data often underperform on real-world…

2025

Fast LiDAR Data Generation with Rectified Flows

ICRA 2025

Building LiDAR generative models holds promise as powerful data priors for restoration, scene manipulation, and scalable simulation in autonomous mobile robots. In recent years, approaches using diffusion models have emerged, significantly improving training stability and generation quality. Despite

Cited by 10SourcecodeScholar
2020

Virtual IR Sensing for Planetary Rovers: Improved Terrain Classification and Thermal Inertia Estimation

RA-L 2020

Terrain classification is critically important for Mars rovers, which rely on it for planning and autonomous navigation. On-board terrain classification using visual information has limitations, and is sensitive to illumination conditions. Classification can be improved if one fuses visual imagery w

Cited by 10SourceScholar
2019

Vision-Based Estimation of Driving Energy for Planetary Rovers Using Deep Learning and Terramechanics

RA-L 2019

This letter presents a prediction algorithm of driving energy for future Mars rover missions. The majority of future Mars rovers would be solar-powered, which would require energy-optimal driving to maximize the range with limited energy. The essential and arguably the most challenging technology fo

Cited by 46SourceScholar
2017

Making gait recognition robust to speed changes using mutual subspace method

ICRA 2017poster

Mutual subspace method (MSM), which is one of image-based approaches, showed strong discrimination capability in gait recognition. In general, 2D image matrices are transformed into 1D image vectors to be used as input into MSM, and then principal component analysis (PCA) is applied to 1D vectors to…

Cited by 9SourceScholar
2016

Multi-modal panoramic 3D outdoor datasets for place categorization

IROS 2016poster

We present two multi-modal panoramic 3D outdoor (MPO) datasets for semantic place categorization with six categories: forest, coast, residential area, urban area and indoor/outdoor parking lot. The first dataset consists of 650 static panoramic scans of dense (9,000,000 points) 3D color and reflecta…

Cited by 22SourceScholar
2015

Automatic planning of laser measurements for a large-scale environment using CPS-SLAM system

IROS 2015poster

In recent years, several low-cost 3D laser scanners are being brought to the market and 3D laser scanning is becoming widely used in many fields. For example, 3D modeling of architectural structures or digital preservation of cultural heritages are typical applications for 3D laser scanning. Despite…

Cited by 8SourceScholar