Search Results for author: Steven Marty

Found 5 papers, 1 papers with code

Burst Image Super-Resolution with Mamba

no code implementations25 Mar 2025 Ozan Unal, Steven Marty, Dengxin Dai

Burst image super-resolution (BISR) aims to enhance the resolution of a keyframe by leveraging information from multiple low-resolution images captured in quick succession.

Burst Image Super-Resolution Computational Efficiency +2

Noise Analysis and Modeling of the PMD Flexx2 Depth Camera for Robotic Applications

no code implementations19 Dec 2024 Yuke Cai, Davide Plozza, Steven Marty, Paul Joseph, Michele Magno

Time of Flight ToF cameras renowned for their ability to capture realtime 3D information have become indispensable for agile mobile robotics These cameras utilize light signals to accurately measure distances enabling robots to navigate complex environments with precision Innovative depth cameras characterized by their compact size and lightweight design such as the recently released PMD Flexx2 are particularly suited for mobile robots Capable of achieving high frame rates while capturing depth information this innovative sensor is suitable for tasks such as robot navigation and terrain mapping Operating on the ToF measurement principle the sensor offers multiple benefits over classic stereobased depth cameras However the depth images produced by the camera are subject to noise from multiple sources complicating their simulation This paper proposes an accurate quantification and modeling of the nonsystematic noise of the PMD Flexx2 We propose models for both axial and lateral noise across various camera modes assuming Gaussian distributions Axial noise modeled as a function of distance and incidence angle demonstrated a low average KullbackLeibler KL divergence of 0015 nats reflecting precise noise characterization Lateral noise deviating from a Gaussian distribution was modeled conservatively yielding a satisfactory KL divergence of 0868 nats These results validate our noise models crucial for accurately simulating sensor behavior in virtual environments and reducing the simtoreal gap in learningbased control approaches

Navigate Robot Navigation

TinyBird-ML: An ultra-low Power Smart Sensor Node for Bird Vocalization Analysis and Syllable Classification

no code implementations31 Jul 2024 Lukas Schulthess, Steven Marty, Matilde Dirodi, Mariana D. Rocha, Linus Rüttimann, Richard H. R. Hahnloser, Michele Magno

Thanks to our power-saving hardware and software design, during continuous operation at a sampling rate of 16 kHz, the sensor node achieves a lifetime of 25 hours on a single size 13 zinc-air battery.

Investigation of mmWave Radar Technology For Non-contact Vital Sign Monitoring

no code implementations15 Sep 2023 Steven Marty, Federico Pantanella, Andrea Ronco, Kanika Dheman, Michele Magno

At the same distance, the 60 GHz and the 120 GHz radar system shows the least noise level, 0. 0lmm at 0{\deg} angle of incidence, and error in range estimation 0. 64 +- 0. 01 cm and 0. 04 +- 0. 0 cm respectively.

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