Ryohei Sasaki Profile
Ryohei Sasaki

@rsasaki0109

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150
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1,189
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Localization and mapping engineer at MAP IV (TIER IV Group)←Waseda University GNSS/LiDAR/IMU/SLAM/Autonomous Mobile Robotics/Autonomous Driving

Nagoya, Japan
Joined July 2016
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@rsasaki0109
Ryohei Sasaki
1 month
自分が作ったOSSが使われて、ロボットが動いてるの嬉しい〜
@Fmrico
Francisco Martín 🇪🇺
1 month
A new round of experiments is complete. Our Multi-Hipothesys Monte Carlo localization algorithm, fully integrated with #Nav2 , works perfectly at indoors/outdoors non-planar environments. #science #robotics
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@rsasaki0109
Ryohei Sasaki
11 months
A new method using a Neural Object Field achieves 6-DoF tracking and 3D reconstruction of unknown, rigid objects from RGBD video sequences. It operates effectively even with occlusions, pose changes, and texture-less surfaces. BundleSDF(CVPR 2023)
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@rsasaki0109
Ryohei Sasaki
1 year
MPCC Simulation environments in C++ and Matlab of the Model Predictive Contouring Controller (MPCC) for Autonomous Racing developed by the Automatic Control Lab (IfA) at ETH Zurich
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@rsasaki0109
Ryohei Sasaki
6 months
mathematical_robotics Optimization for Robotics point_cloud_matching Matching of 3D point clouds using rigid transformation by Lie groups, with optimization performed using Ceres Solver.
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@rsasaki0109
Ryohei Sasaki
2 months
VisFusion: Visibility-aware Online 3D Scene Reconstruction from Videos (CVPR 2023)
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@rsasaki0109
Ryohei Sasaki
2 months
Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed(CVPR 2024)
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@rsasaki0109
Ryohei Sasaki
1 year
"Optimal Motion Generation-tools" is a Python software that simplifies motion planning. It's designed for both single-agent and multi-agent systems, and aims to make research on this topic more accessible​. omg-tools
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@rsasaki0109
Ryohei Sasaki
4 months
GNSS受信機に関する神資料が公開されてる GNSS 受信機の概要 I アンテナ信号入力から、擬似距離出力まで
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@rsasaki0109
Ryohei Sasaki
11 months
NOPE: Novel Object Pose Estimation from a Single Image
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@rsasaki0109
Ryohei Sasaki
3 months
viser viser is a library for interactive 3D visualization + Python, inspired by tools like Pangolin, rviz, meshcat, and Gradio. It's designed to support applications in 3D vision and robotics. Point cloud visualization
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@rsasaki0109
Ryohei Sasaki
5 years
『システム/制御/情報』のガウス過程特集号「ガウス過程回帰の基礎から応用」が,先月から無料で読めるようになってる!
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@rsasaki0109
Ryohei Sasaki
1 year
NeRF-RPN, a new object detection framework, operates directly on NeRF models and leverages multi-scale 3D neural volumetric features in a voxel representation to regress 3D bounding boxes without rendering.[CVPR 2023]
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@rsasaki0109
Ryohei Sasaki
3 months
fmm Fast map matching, an open source framework in C++ Map match to OSM road network by drawing
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@rsasaki0109
Ryohei Sasaki
1 month
Representing 3D sparse map points and lines for camera relocalization
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@rsasaki0109
Ryohei Sasaki
5 months
OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural Radiance Fields
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@rsasaki0109
Ryohei Sasaki
7 months
[CVPR 2023 Highlight]ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
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@rsasaki0109
Ryohei Sasaki
9 months
Traditional LiDAR SLAM yields sparse maps. A new CPU-only system generates and localizes dense mesh maps in real-time using Gaussian process reconstruction, running at 40Hz with enhanced accuracy. SLAMesh
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@rsasaki0109
Ryohei Sasaki
5 months
Mip-Splatting: Alias-free 3D Gaussian Splatting > TL;DR: We introduce a 3D smoothing filter and a 2D Mip filter for 3D Gaussian Splatting (3DGS), eliminating multiple artifacts and achieving alias-free renderings.
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@rsasaki0109
Ryohei Sasaki
30 days
UniDepth: Universal Monocular Metric Depth Estimation Zero-Shot Visualization YouTube (The Office - Parkour)
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@rsasaki0109
Ryohei Sasaki
9 months
ManipulationOnTheMove An Architecture for Reactive Mobile Manipulation On-The-Move(ICRA2023)
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@rsasaki0109
Ryohei Sasaki
2 months
CropCraft A Procedural World Generator for Robotics Simulation of Agricultural Tasks > CropCraft is a python script that allows to generate 3D models of crop fields specialized for real-time simulation of robotics application.
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@rsasaki0109
Ryohei Sasaki
11 months
The paper presents OccNet, a novel pipeline for 3D occupancy reconstruction that improves driving tasks like detection, segmentation, and planning. Using a general occupancy embedding, it notably reduces collision rates in motion planning.
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@rsasaki0109
Ryohei Sasaki
4 months
[AAAI 2024] Official repository for UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation. UCMCTrack ranks first on MOT17 without using any appearance cues. Tracking Vehicles with Moving Camera
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@rsasaki0109
Ryohei Sasaki
2 months
(IV 2023) LVT2Calib: Automatic and Unified Extrinsic Calibration Toolbox for Different 3D LiDAR, Visual Camera and Thermal Camera
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@rsasaki0109
Ryohei Sasaki
2 months
DepthAnything-ROS DepthAnything-ROS is ROS2 wrapper for Depth-Anything.
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@rsasaki0109
Ryohei Sasaki
7 months
mppi_numba A GPU implementation of Model Predictive Path Integral (MPPI) control that uses a probabilistic traversability model for planning risk-aware trajectories.
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@rsasaki0109
Ryohei Sasaki
1 month
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM(3DV 2024 Oral)
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@rsasaki0109
Ryohei Sasaki
1 year
主に点群処理/LiDAR SLAMに関する研究をしている産総研小出さんが可視化用ライブラリを公開している iridescence 3D visualization library for rapid prototyping of 3D algorithms
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@rsasaki0109
Ryohei Sasaki
2 years
色々なセンサ間キャリブレーションのオープンソースを公開しているOpenCalibというorganizationを見つけた
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@rsasaki0109
Ryohei Sasaki
2 months
[CVPR 2024] The official implementation for "SemCity: Semantic Scene Generation with Triplane Diffusion"
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@rsasaki0109
Ryohei Sasaki
3 months
SpacetimeGaussians Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
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@rsasaki0109
Ryohei Sasaki
1 year
SegmentAnything3D SAM-3D: A toolbox transfers 2D SAM segments into 3D scene-level point clouds
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@rsasaki0109
Ryohei Sasaki
11 months
[ICRA 2023] Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning
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@rsasaki0109
Ryohei Sasaki
2 months
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion
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@rsasaki0109
Ryohei Sasaki
6 months
Automatic-Parking Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
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@rsasaki0109
Ryohei Sasaki
10 months
Detector-Free Structure from Motion >TL;DR: We propose a detector-free structure from motion framework that eliminates the requirement of keypoint detection and can recover poses even on challenging texture-poor scene
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@rsasaki0109
Ryohei Sasaki
1 year
NeRF-SLAM Real-Time Dense Monocular SLAM with Neural Radiance Fields.
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@rsasaki0109
Ryohei Sasaki
1 year
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
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@rsasaki0109
Ryohei Sasaki
6 months
UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields(ICCV2023) Controllable 3D-aware Image Synthesis (top) & Panoptic Prior (bottom)
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@rsasaki0109
Ryohei Sasaki
2 months
MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video(CVPR2024)
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@rsasaki0109
Ryohei Sasaki
4 months
Direct LiDAR Odometry: Fast Localization with Dense Point Clouds A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
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@rsasaki0109
Ryohei Sasaki
1 year
The paper outlines a new method for large-scale 3D reconstruction with LiDAR data. It utilizes an octree-based structure and a shallow neural network for data processing, and an incremental mapping system for continual learning.(ICRA' 23)
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@rsasaki0109
Ryohei Sasaki
4 months
Camera, LiDAR, and IMU Based Multi-Sensor Fusion SLAM: A Survey
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@rsasaki0109
Ryohei Sasaki
7 months
> Neural A* is a novel data-driven search-based planner that consists of a trainable encoder and a differentiable version of A* search algorithm called differentiable A* module. Official implementation of "Path Planning using Neural A* Search"
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@rsasaki0109
Ryohei Sasaki
1 year
nvidia-isaac/nvblox A GPU-accelerated TSDF and ESDF library for robots equipped with RGB-D cameras.
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@rsasaki0109
Ryohei Sasaki
2 months
point_lio_unilidar Point-LIO for Unitree L1 LiDAR.
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@rsasaki0109
Ryohei Sasaki
8 months
dwa_planner ROS implementation of DWA(Dynamic Window Approach) Planner
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@rsasaki0109
Ryohei Sasaki
5 months
Recognize Anything The Recognize Anything Model (RAM) can recognize any common category with high accuracy. When combined with localization models (Grounded-SAM), RAM forms a strong and general pipeline for visual semantic analysis.
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@rsasaki0109
Ryohei Sasaki
3 months
TinyMPCTh Pytorch Implementation of TinyMPC, a lightweight ADMM-based mpc solver. TinyMPC is division-free and requires no matrix factorization, which makes it robust and efficient.
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@rsasaki0109
Ryohei Sasaki
2 months
RoboticsAcademy: Learn Robotics, Artificial Intelligence and Computer Vision
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@rsasaki0109
Ryohei Sasaki
5 years
TLでカルマンフィルターが話題なので紹介したいのですが、以下の記事が ・測定できない値を推測できる ・外乱にも対応できる ・モデルが間違っていても、その情報をプロセスノイズに入れて推測できる とKFでできることが書いてあり、余談も示唆に富んでで神記事です。
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@rsasaki0109
Ryohei Sasaki
2 months
Lidar With Velocity: Correcting Moving Objects Point Cloud Distortion From Oscillating Scanning Lidars by Fusion With Camera
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@rsasaki0109
Ryohei Sasaki
7 months
Point-SLAM introduces a technique for RGBD using a point-based scene representation. Differing from traditional grid-based methods, this model adjusts anchor point density based on input information density, enhancing efficiency and accuracy(ICCV'23)
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@rsasaki0109
Ryohei Sasaki
3 months
beluga A general implementation of Monte Carlo Localization (MCL) algorithms written in C++17, and a ROS package that can be used in ROS 1 and ROS 2.
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@rsasaki0109
Ryohei Sasaki
2 months
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction(CVPR 2024) > SelfOcc empowers 3D autonomous driving world models (e.g., OccWorld) with scalable 3D representations, paving the way for interpretable end-to-end large driving models. Trained…
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@rsasaki0109
Ryohei Sasaki
1 year
The Topological Semantic Graph Memory framework enables robots to efficiently navigate unknown environments using landmark-based graph memory collected via an RGB-D camera, outperforming existing methods and demonstrating success in real-world scenarios
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@rsasaki0109
Ryohei Sasaki
3 months
sr_livo A LiDAR-inertial-visual odometry and mapping system based on the sweep reconstruction method > SR-LIVO is designed based on the framework of R3Live. > We employ the sweep reconstruction method to align reconstructed sweeps with image timestamps
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@rsasaki0109
Ryohei Sasaki
8 months
Fuzzy Metaballs+ use 3D Gaussians for differentiable rendering, integrating optical flow and producing watertight meshes. These techniques ensure speedy, reliable reconstructions on both GPU and CPU.
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@rsasaki0109
Ryohei Sasaki
4 months
IMUNet: Efficient Regression Architecture for IMU Navigation and Positioning
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@rsasaki0109
Ryohei Sasaki
3 months
NF-Atlas: Multi-Volume Neural Feature Fields for Large Scale LiDAR Mapping
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@rsasaki0109
Ryohei Sasaki
6 months
google-research/ibc Implicit Behavioral Cloning Implicit BC policy on a precise, 1-millimeter-tolerance slide-then-insert task: push a block across a table, then slide it into a slot.
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@rsasaki0109
Ryohei Sasaki
3 months
RAP-SAM:Towards Real-Time All-Purpose Segment Anything
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@rsasaki0109
Ryohei Sasaki
6 months
curobo CUDA Accelerated Robot Library > CuRobo is a CUDA accelerated library containing a suite of robotics algorithms that run significantly faster than existing implementations leveraging parallel compute.
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@rsasaki0109
Ryohei Sasaki
2 months
LiDeNeRF: Neural Radiance Field Reconstruction with Depth Prior Provided by LiDAR Point Cloud
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@rsasaki0109
Ryohei Sasaki
3 months
Calib-Anything: Zero-training LiDAR-Camera Extrinsic Calibration Method Using Segment Anything
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@rsasaki0109
Ryohei Sasaki
2 months
Single-Shot Global Localization via Graph-Theoretic Correspondence Matching
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@rsasaki0109
Ryohei Sasaki
2 years
PFNの方のSLAM開発における評価/チューニング/テストに関する資料 SLAM開発における課題と対策の一例の紹介
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@rsasaki0109
Ryohei Sasaki
6 months
lightNet-TRT > LightNet-TRT is a high-efficiency and real-time implementation of convolutional neural networks (CNNs) using Edge AI.
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@rsasaki0109
Ryohei Sasaki
1 month
Loopy-SLAM: Dense Neural SLAM with Loop Closures (CVPR2024)
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@rsasaki0109
Ryohei Sasaki
5 months
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
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@rsasaki0109
Ryohei Sasaki
3 months
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving
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@rsasaki0109
Ryohei Sasaki
3 months
A demo of bundle adjustment has been added to "MathematicalRobotics", a python sample code library that utilizes Lie algebra in robotics algorithms👀
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@rsasaki0109
Ryohei Sasaki
11 months
The software by zhm-real is a collection of key algorithms for autonomous vehicle planning and tracking, featuring Hybrid A* Planner, Frenet Optimal Trajectory, and multiple controllers. Hybrid A* Planner
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@rsasaki0109
Ryohei Sasaki
2 years
強強な後輩が作った自己位置推定ソフトウェアが公開されました🥳 hawkeye Hawkeye - Localization with LiDAR, GNSS/INS and ortho image map Youtube
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@rsasaki0109
Ryohei Sasaki
4 months
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators
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@rsasaki0109
Ryohei Sasaki
2 months
Khronos Spatio-Temporal Metric-Semantic SLAM > Khronos is a unified approach that can reason about short-term dynamics and long-term changes when performing online metric-semantic simultaneous mapping and localization (SLAM) in dynamic environments
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@rsasaki0109
Ryohei Sasaki
4 months
LMDrive Closed-Loop End-to-End Driving with LLM An end-to-end, closed-loop, language-based autonomous driving framework, which interacts with the dynamic environment via multi-modal multi-view sensor data and natural language instructions
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@rsasaki0109
Ryohei Sasaki
4 months
torch-bakedsdf An unofficial pytorch implementation of Meshing Neural SDFs for Real-Time View Synthesis.
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@rsasaki0109
Ryohei Sasaki
5 months
PatchFusion An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
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@rsasaki0109
Ryohei Sasaki
7 months
GraphBasedLocalTrajectoryPlanner for autonomous race vehicles employs a multilayer graph framework, providing optimal, feasible actions, and has demonstrated success in real-world applications at speeds above 200kph during Roborace Season Alpha.
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@rsasaki0109
Ryohei Sasaki
7 months
python_simple_mppi Python implementation of MPPI(Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
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@rsasaki0109
Ryohei Sasaki
4 months
TextSLAM: Visual SLAM with Semantic Planar Text Features. (ICRA2020 & TPAMI2023)
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@rsasaki0109
Ryohei Sasaki
5 months
cuda-efficient-features A CUDA implementation of keypoint detection and descriptor extraction
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@rsasaki0109
Ryohei Sasaki
5 months
Awesome-Robotics-Foundation-Models
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@rsasaki0109
Ryohei Sasaki
5 months
SLAMBOX is designed for use metod SLAM in education, experiments, research and development by Node-based user interface. This is a box with tools that you can quickly and conveniently experiment with separate SLAM nodes
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@rsasaki0109
Ryohei Sasaki
5 months
Awesome-3D-LiDAR-Datasets This reposiotry is the collection for public 3D LiDAR datasets
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@rsasaki0109
Ryohei Sasaki
3 months
DMSTrack Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter(ICRA2024)
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@rsasaki0109
Ryohei Sasaki
6 months
[RA-L 2023] Official Code Release for LONER: LiDAR Only Neural Representations for Real-Time SLAM
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@rsasaki0109
Ryohei Sasaki
6 months
TinyMPC Model-predictive control on resource-constrained microcontrollers Efficient/Robust/Free(Apache 2.0)/Embeddable/Multi-interface(C/C++, Matlab, Python, Julia)/Dependency-minimal(Only Eigen)
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@rsasaki0109
Ryohei Sasaki
6 months
libRSF is a robust C++ library for sensor fusion with sliding window filtering, predefined cost functions, and robust error models, leveraging Ceres Solver libRSF A robust sensor fusion library for online localization.
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@rsasaki0109
Ryohei Sasaki
4 months
👀 autowarefoundation/autoware.universe Pull Request feat(localization): add nerf_based_localizer #ROS2
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@rsasaki0109
Ryohei Sasaki
2 months
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
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@rsasaki0109
Ryohei Sasaki
2 months
RoadNet [ICCV2023 Oral] RoadNetworkTRansformer & [AAAI 2024] LaneGraph2Seq Road Network and Lane Topology Extraction
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@rsasaki0109
Ryohei Sasaki
5 months
PrimA6D++ PrimA6D++ estimates three rotation axis primitive images and their associated uncertainties.
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@rsasaki0109
Ryohei Sasaki
4 months
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras [ICCV 2023]
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@rsasaki0109
Ryohei Sasaki
2 months
[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
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@rsasaki0109
Ryohei Sasaki
1 year
RGB-D画像のマッチング精度を向上させるための画像特徴抽出と融合手法を提案。 SIFT、SURF、ORB特徴量とPFH、FPFH特徴量を組み合わせた特徴量を使用し、誤マッチングを減少させている。 GlueStick: Robust Image Matching by Sticking Points and Lines Together
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@rsasaki0109
Ryohei Sasaki
2 months
monoforce Robot-terrain interaction prediction from only RGB images as input.
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