Search Results for author: Robert Fonod

Found 4 papers, 3 papers with code

Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data

no code implementations7 Jan 2025 Weijiang Xiong, Robert Fonod, Alexandre Alahi, Nikolas Geroliminis

Traffic forecasting is a fundamental task in transportation research, however the scope of current research has mainly focused on a single data modality of loop detectors.

Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

3 code implementations4 Nov 2024 Robert Fonod, Haechan Cho, Hwasoo Yeo, Nikolas Geroliminis

This paper presents a framework for extracting georeferenced vehicle trajectories from high-altitude drone footage, addressing key challenges in urban traffic monitoring and limitations of traditional ground-based systems.

 Ranked #1 on Object Detection on Songdo Vision (using extra training data)

4k geo-localization +5

DeepSleep 2.0: Automated Sleep Arousal Segmentation via Deep Learning

1 code implementation AI 2022 Robert Fonod

DeepSleep 2. 0 is a compact version of DeepSleep, a state-of-the-art, U-Net-inspired, fully convolutional deep neural network, which achieved the highest unofficial score in the 2018 PhysioNet Computing Challenge.

Decoder Deep Learning +2

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