Search Results for author: Riku Murai

Found 8 papers, 2 papers with code

Gaussian Splatting SLAM

no code implementations11 Dec 2023 Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly, Andrew J. Davison

We present the first application of 3D Gaussian Splatting in monocular SLAM, the most fundamental but the hardest setup for Visual SLAM.

3D Reconstruction Novel View Synthesis +1

Distributing Collaborative Multi-Robot Planning with Gaussian Belief Propagation

1 code implementation22 Mar 2022 Aalok Patwardhan, Riku Murai, Andrew J. Davison

Precise coordinated planning over a forward time window enables safe and highly efficient motion when many robots must work together in tight spaces, but this would normally require centralised control of all devices which is difficult to scale.

Systematic Comparison of Path Planning Algorithms using PathBench

no code implementations7 Mar 2022 Hao-Ya Hsueh, Alexandru-Iosif Toma, Hussein Ali Jaafar, Edward Stow, Riku Murai, Paul H. J. Kelly, Sajad Saeedi

An unified path planning interface that facilitates the development and benchmarking of existing and new algorithms is needed.

Benchmarking

A Robot Web for Distributed Many-Device Localisation

no code implementations7 Feb 2022 Riku Murai, Joseph Ortiz, Sajad Saeedi, Paul H. J. Kelly, Andrew J. Davison

We show that a distributed network of robots or other devices which make measurements of each other can collaborate to globally localise via efficient ad-hoc peer to peer communication.

Cain: Automatic Code Generation for Simultaneous Convolutional Kernels on Focal-plane Sensor-processors

1 code implementation21 Jan 2021 Edward Stow, Riku Murai, Sajad Saeedi, Paul H. J. Kelly

Focal-plane Sensor-processors (FPSPs) are a camera technology that enable low power, high frame rate computation, making them suitable for edge computation.

Code Generation

AnalogNet: Convolutional Neural Network Inference on Analog Focal Plane Sensor Processors

no code implementations2 Jun 2020 Matthew Z. Wong, Benoit Guillard, Riku Murai, Sajad Saeedi, Paul H. J. Kelly

We present a high-speed, energy-efficient Convolutional Neural Network (CNN) architecture utilising the capabilities of a unique class of devices known as analog Focal Plane Sensor Processors (FPSP), in which the sensor and the processor are embedded together on the same silicon chip.

BIT-VO: Visual Odometry at 300 FPS using Binary Features from the Focal Plane

no code implementations23 Apr 2020 Riku Murai, Sajad Saeedi, Paul H. J. Kelly

Focal-plane Sensor-processor (FPSP) is a next-generation camera technology which enables every pixel on the sensor chip to perform computation in parallel, on the focal plane where the light intensity is captured.

Visual Odometry

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