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Assessing High Dynamic Range Imagery Performance For Object Detection In Maritime Environments, Erasmo Landaeta
Assessing High Dynamic Range Imagery Performance For Object Detection In Maritime Environments, Erasmo Landaeta
Doctoral Dissertations and Master's Theses
The field of autonomous robotics has benefited from the implementation of convolutional neural networks in vision-based situational awareness. These strategies help identify surface obstacles and nearby vessels. This study proposes the introduction of high dynamic range cameras on autonomous surface vessels because these cameras capture images at different levels of exposure revealing more detail than fixed exposure cameras. To see if this introduction will be beneficial for autonomous vessels this research will create a dataset of labeled high dynamic range images and single exposure images, then train object detection networks with these datasets to compare the performance of these networks. …