67 citations · 154 across the 10 of their papers we have counts for
7 papers · 1 filter
Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling
Reon Tabata, Kenji Koide, Shuji Oishi +4
Image-to-Point Cloud Registration (I2P) is essential for integrating camera and LiDAR in perception and autonomous systems, yet the modality gap between images and point clouds mak…
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle
Oskar Natan, Jun Miura
We propose DeepIPCv2, an end-to-end autonomous driving framework that integrates LiDAR-based environmental perception with command-specific control learning. Unlike prior camera-re…
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments
Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura
This paper describes a method of online refinement of a scene recognition model for robot navigation considering traversable plants, flexible plant parts which a robot can push asi…
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments
Oskar Natan, Jun Miura
In this work, we introduce DeepIPC, a novel end-to-end model tailored for autonomous driving, which seamlessly integrates perception and control tasks. Unlike traditional models th…
End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent
Oskar Natan, Jun Miura
Focusing on the task of point-to-point navigation for an autonomous driving vehicle, we propose a novel deep learning model trained with end-to-end and multi-task learning manners…
Image-based scene recognition for robot navigation considering traversable plants and its manual annotation-free training
Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura
This paper describes a method of estimating the traversability of plant parts covering a path and navigating through them for mobile robots operating in plant-rich environments. Co…
Multi-task Learning with Attention for End-to-end Autonomous Driving
Keishi Ishihara, Anssi Kanervisto, Jun Miura +1
Autonomous driving systems need to handle complex scenarios such as lane following, avoiding collisions, taking turns, and responding to traffic signals. In recent years, approache…