Tootfinder

Comparison of Localization Algorithms between Reduced-Scale and Real-Sized Vehicles Using Visual and Inertial Sensors
Tobias Kern, Leon Tolksdorf, Christian Birkner
https://arxiv.org/abs/2507.11241

Comparison of Localization Algorithms between Reduced-Scale and Real-Sized Vehicles Using Visual and Inertial Sensors
Physically reduced-scale vehicles are emerging to accelerate the development of advanced automated driving functions. In this paper, we investigate the effects of scaling on self-localization accuracy with visual and visual-inertial algorithms using cameras and an inertial measurement unit (IMU). For this purpose, ROS2-compatible visual and visual-inertial algorithms are selected, and datasets are chosen as a baseline for real-sized vehicles. A test drive is conducted to record data of reduced-…

Dark Branches of Immortal Stars at the Galactic Center: #DarkMatter particle and antiparticle collisions could make some stars immortal.

Outward and Inward
#InstrumentalMusic #NowPlaying
https://muz4now.com/2022/outward-and-i

Outward and Inward #NowPlaying
Stan Stewart - @muz4now

Quantum modified inertia: an application to galaxy rotation curves
Jonathan Gillot
https://arxiv.org/abs/2507.11524 https://arxiv.org…

Quantum modified inertia: an application to galaxy rotation curves
This study explores the field of modified inertia through a novel model involving maximal and minimal acceleration bounds. A principle of dynamics is developed within special relativity and has direct implications in astrophysics, especially for galaxy rotation curves. The presence of a minimal acceleration significantly reduces the amount of dark matter required to account for these curves. The model presented here is however conceptually different from fiduciary Modified Newtonian Dynamics (M…

Velocity Distribution and Diffusion of an Athermal Inertial Run-and-Tumble Particle in a Shear-Thickening Medium
Subhanker Howlader, Sayantan Mondal, Prasenjit Das
https://arxiv.org/abs/2507.12313

Velocity Distribution and Diffusion of an Athermal Inertial Run-and-Tumble Particle in a Shear-Thickening Medium
We study the dynamics of an athermal inertial run-and-tumble particle moving in a shear-thickening medium in $d=1$. The viscosity of the medium is represented by a nonlinear function $f(v)\sim\tan(v)$, while a symmetric dichotomous noise of strength $Σ$ and flipping rate $λ$ models the activity of the particle. Starting from the Fokker-Planck~(FP) equation for the time-dependent probability distribution $W_{\pmΣ}(v, t)$ of the particle's velocity $v$ at time $t$ and the active force is $\pm�…

Presidential lesson number 7582: don’t let folks who might know about crimes you’ve committed “die by suicide” while in custody because then their ghost will continue to pursue you and is immortal.
#USpol

Hey, Inoreader, you seriously running hot with notifications about what I saved to read later. You need to calm down, buddy!

Global Near-Inertial Wave Spectra Shaped by Mesoscale Eddies
Scott Conn, J\"orn Callies
https://arxiv.org/abs/2507.11651 https://

Global Near-Inertial Wave Spectra Shaped by Mesoscale Eddies
Wind-forced near-inertial waves (NIWs) propagate through a sea of mesoscale eddies, which can fundamentally alter their evolution. The nature of this NIW--mesoscale interaction depends on how dispersive the waves are. For weakly dispersive waves, ray tracing suggests that the NIW frequency should be shifted by $\frac{1}{2}ζ$, where $ζ$ is the mesoscale vorticity, and that the waves are refracted into anticyclones. Strongly dispersive waves, in contrast, retain the large-scale structure of the…

Outward and Inward – Sharing and Introspection #music https://muz4now.com/2022/outward-and-inward-sharing-and-introspection

Outward and Inward - Sharing and Introspection
Stan Stewart - @muz4now

Multi-IMU Sensor Fusion for Legged Robots
Shuo Yang, John Z. Zhang, Ibrahima Sory Sow, Zachary Manchester
https://arxiv.org/abs/2507.11447 https://

Multi-IMU Sensor Fusion for Legged Robots
This paper presents a state-estimation solution for legged robots that uses a set of low-cost, compact, and lightweight sensors to achieve low-drift pose and velocity estimation under challenging locomotion conditions. The key idea is to leverage multiple inertial measurement units on different links of the robot to correct a major error source in standard proprioceptive odometry. We fuse the inertial sensor information and joint encoder measurements in an extended Kalman filter, then combine t…