@inbook {492,
	title = {Hyperparameter Optimization using Grid Search for use in Monocular Depth Estimation},
	booktitle = {CAT Vehicle 2020 Technical Reports},
	year = {2020},
	abstract = {<p>Autonomous vehicles uses a myriad of sensors to observe and monitor its surroundings. Current re- search incorporates static digital images that are used to train and optimize deep neural networks. These deep neural networks are used to identify and determine the distances of objects from the autonomous vehicle. Unfortunately, the hyperparameters used to train these networks were chosen arbitrarily. We explored the hyperparameter space through a two-step grid search in order to recognize the optimal combination of losses before continuing to train the rest of the system to understand the trade offs be- tween constant parameters. Specifically, the research focuses on finding the optimal relation between the left-right consistency, appearance, disparity losses in generating accurate feature edges in our output images. The trade off between costs allows for the neural network an increased performance at edge detection.</p>
},
	keywords = {Autonomous Driving, Grid Search, Neural Networks, Optimization},
	author = {Calvin Barrett and Tomohide Bessho}
}
@conference {231,
	title = {Model-Based Software Synthesis for Self-Reconfigurable Sensor Network in Water Monitoring},
	booktitle = {Engineering of Computer Based Systems (ECBS), 2013 20th IEEE International Conference and Workshops on the},
	year = {2013},
	month = {April},
	pages = {40-48},
	keywords = {accelerometers, Code Generation, communication task, computation task, Computational modeling, concurrent engineering, concurrent tasks specification, control tasks, cyber-physical systems, domain-specific modeling language, drifters, embedded programming, environmental monitoring (geophysics), environmental science computing, floating sensor testbed, formal specification, Global Positioning System, GPS sensors, hand-written code, Instruction sets, mobile computing, mobile phone, mobile radio, mobile sensing platforms, model-based software synthesis, model-integrated computing, program compilers, Programming, self-reconfigurable sensor network, Smart phones, software synthesis, ubiquitous mobile device, Unified modeling language, water flow monitoring, wireless sensor networks},
	doi = {10.1109/ECBS.2013.34},
	url = {http://dx.doi.org/10.1109/ECBS.2013.34},
	author = {Kun Zhang and Jonathan Sprinkle}
}
