We propose a speed measurement system based on monocular cameras with no need for calibration. Our proposed system was trained from a synthetic data set.
We explore a deep learning regressor over our synthetic data set, while able to estimate the speed of vehicles in the real world with relative precision, only ...
We explore a deep learning regressor over our synthetic data set, while able to estimate the speed of vehicles in the real world with relative precision, only ...
Jul 11, 2021 · Our proposed system was trained from a synthetic data set containing 12,290 instances of vehicle speeds. We extract the motion information of ...
... In order to evaluate the suitability of the proposed architecture to perform speed detection, we firstly performed a training, validation and test (60/20/20) ...
Our proposed system was trained from a synthetic data set containing 12,290 instances of vehicle speeds. We extract the motion information of the vehicles that ...
Aug 28, 2022 · Deep speed estimation from synthetic and monocular data. 88 views · 2 years ago ...more. IVision Lab. 122. Subscribe. 2. Share. Save.
The work is entitled “Deep speed estimation from synthetic and monocular data” and describes a solution for estimating the speed of vehicles with monocular ...
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Oct 9, 2024 · Monocular depth estimation refers to estimating depth from a single image, which does not require additional complicated equipment and ...
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