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You searched for +publisher:"Cal Poly" +contributor:("John Seng"). Showing records 1 – 12 of 12 total matches.

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Cal Poly

1. Citron, Connor. Stereo Vision System Module for Low-Cost FPGAs for Autonomous Mobile Robots.

Degree: MS, Computer Science, 2014, Cal Poly

  Stereo vision uses two adjacent cameras to create a 3D image of the world. A depth map can be created by comparing the offset… (more)

Subjects/Keywords: Robotics

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APA (6th Edition):

Citron, C. (2014). Stereo Vision System Module for Low-Cost FPGAs for Autonomous Mobile Robots. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1298 ; 10.15368/theses.2014.149

Chicago Manual of Style (16th Edition):

Citron, Connor. “Stereo Vision System Module for Low-Cost FPGAs for Autonomous Mobile Robots.” 2014. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/1298 ; 10.15368/theses.2014.149.

MLA Handbook (7th Edition):

Citron, Connor. “Stereo Vision System Module for Low-Cost FPGAs for Autonomous Mobile Robots.” 2014. Web. 05 Jun 2020.

Vancouver:

Citron C. Stereo Vision System Module for Low-Cost FPGAs for Autonomous Mobile Robots. [Internet] [Masters thesis]. Cal Poly; 2014. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/1298 ; 10.15368/theses.2014.149.

Council of Science Editors:

Citron C. Stereo Vision System Module for Low-Cost FPGAs for Autonomous Mobile Robots. [Masters Thesis]. Cal Poly; 2014. Available from: https://digitalcommons.calpoly.edu/theses/1298 ; 10.15368/theses.2014.149


Cal Poly

2. Norris, Michael K. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.

Degree: MS, Computer Science, 2016, Cal Poly

  This work presents improvements to Monte Carlo Localization (MCL) for a mobile robot using computer vision. Solutions to the localization problem aim to provide… (more)

Subjects/Keywords: localization; computer vision; particle filtering; Computational Engineering

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APA (6th Edition):

Norris, M. K. (2016). INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96

Chicago Manual of Style (16th Edition):

Norris, Michael K. “INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.” 2016. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96.

MLA Handbook (7th Edition):

Norris, Michael K. “INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION.” 2016. Web. 05 Jun 2020.

Vancouver:

Norris MK. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96.

Council of Science Editors:

Norris MK. INCORPORATING HISTOGRAMS OF ORIENTED GRADIENTS INTO MONTE CARLO LOCALIZATION. [Masters Thesis]. Cal Poly; 2016. Available from: https://digitalcommons.calpoly.edu/theses/1629 ; 10.15368/theses.2016.96


Cal Poly

3. Krapil, Stephanie. Adapting Monte Carlo Localization to Utilize Floor and Wall Texture Data.

Degree: MS, Computer Science, 2014, Cal Poly

  Monte Carlo Localization (MCL) is an algorithm that allows a robot to determine its location when provided a map of its surroundings. Particles, consisting… (more)

Subjects/Keywords: Robot Localization; Monte Carlo Localization; MCL; Neural Network; IMU; Laser Range Finder; Artificial Intelligence and Robotics

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APA (6th Edition):

Krapil, S. (2014). Adapting Monte Carlo Localization to Utilize Floor and Wall Texture Data. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1326 ; 10.15368/theses.2014.157

Chicago Manual of Style (16th Edition):

Krapil, Stephanie. “Adapting Monte Carlo Localization to Utilize Floor and Wall Texture Data.” 2014. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/1326 ; 10.15368/theses.2014.157.

MLA Handbook (7th Edition):

Krapil, Stephanie. “Adapting Monte Carlo Localization to Utilize Floor and Wall Texture Data.” 2014. Web. 05 Jun 2020.

Vancouver:

Krapil S. Adapting Monte Carlo Localization to Utilize Floor and Wall Texture Data. [Internet] [Masters thesis]. Cal Poly; 2014. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/1326 ; 10.15368/theses.2014.157.

Council of Science Editors:

Krapil S. Adapting Monte Carlo Localization to Utilize Floor and Wall Texture Data. [Masters Thesis]. Cal Poly; 2014. Available from: https://digitalcommons.calpoly.edu/theses/1326 ; 10.15368/theses.2014.157


Cal Poly

4. Kerfs, Jeremy N. Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments.

Degree: MS, Computer Science, 2017, Cal Poly

  Robots are no longer constrained to cages in factories and are increasingly taking on roles alongside humans. Before robots can accomplish their tasks in… (more)

Subjects/Keywords: neural network; robot; autonomous; machine learning; artificial intelligence; Robotics

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APA (6th Edition):

Kerfs, J. N. (2017). Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1716 ; 10.15368/theses.2017.34

Chicago Manual of Style (16th Edition):

Kerfs, Jeremy N. “Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments.” 2017. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/1716 ; 10.15368/theses.2017.34.

MLA Handbook (7th Edition):

Kerfs, Jeremy N. “Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments.” 2017. Web. 05 Jun 2020.

Vancouver:

Kerfs JN. Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments. [Internet] [Masters thesis]. Cal Poly; 2017. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/1716 ; 10.15368/theses.2017.34.

Council of Science Editors:

Kerfs JN. Models for Pedestrian Trajectory Prediction and Navigation in Dynamic Environments. [Masters Thesis]. Cal Poly; 2017. Available from: https://digitalcommons.calpoly.edu/theses/1716 ; 10.15368/theses.2017.34


Cal Poly

5. Weideman, Ryan. Robot Navigation in Cluttered Environments with Deep Reinforcement Learning.

Degree: MS, Electrical Engineering, 2019, Cal Poly

  The application of robotics in cluttered and dynamic environments provides a wealth of challenges. This thesis proposes a deep reinforcement learning based system that… (more)

Subjects/Keywords: robotics; reinforcement learning; navigation; machine learning; Robotics

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APA (6th Edition):

Weideman, R. (2019). Robot Navigation in Cluttered Environments with Deep Reinforcement Learning. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/2011 ; 10.15368/theses.2019.31

Chicago Manual of Style (16th Edition):

Weideman, Ryan. “Robot Navigation in Cluttered Environments with Deep Reinforcement Learning.” 2019. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/2011 ; 10.15368/theses.2019.31.

MLA Handbook (7th Edition):

Weideman, Ryan. “Robot Navigation in Cluttered Environments with Deep Reinforcement Learning.” 2019. Web. 05 Jun 2020.

Vancouver:

Weideman R. Robot Navigation in Cluttered Environments with Deep Reinforcement Learning. [Internet] [Masters thesis]. Cal Poly; 2019. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/2011 ; 10.15368/theses.2019.31.

Council of Science Editors:

Weideman R. Robot Navigation in Cluttered Environments with Deep Reinforcement Learning. [Masters Thesis]. Cal Poly; 2019. Available from: https://digitalcommons.calpoly.edu/theses/2011 ; 10.15368/theses.2019.31


Cal Poly

6. Hudgins, Hayden. Human Path Prediction using Auto Encoder LSTMs and Single Temporal Encoders.

Degree: MS, Computer Science, 2020, Cal Poly

  Due to automation, the world is changing at a rapid pace. Autonomous agents have become more common over the last several years and, as… (more)

Subjects/Keywords: Artificial Intelligence; Path Prediction; Auto Encoder LSTM; Temporal Encoder; Neural Network; Frame Prediction; Artificial Intelligence and Robotics

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APA (6th Edition):

Hudgins, H. (2020). Human Path Prediction using Auto Encoder LSTMs and Single Temporal Encoders. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/2119

Chicago Manual of Style (16th Edition):

Hudgins, Hayden. “Human Path Prediction using Auto Encoder LSTMs and Single Temporal Encoders.” 2020. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/2119.

MLA Handbook (7th Edition):

Hudgins, Hayden. “Human Path Prediction using Auto Encoder LSTMs and Single Temporal Encoders.” 2020. Web. 05 Jun 2020.

Vancouver:

Hudgins H. Human Path Prediction using Auto Encoder LSTMs and Single Temporal Encoders. [Internet] [Masters thesis]. Cal Poly; 2020. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/2119.

Council of Science Editors:

Hudgins H. Human Path Prediction using Auto Encoder LSTMs and Single Temporal Encoders. [Masters Thesis]. Cal Poly; 2020. Available from: https://digitalcommons.calpoly.edu/theses/2119


Cal Poly

7. Banich, Jason David. Zebra Crosswalk Detection Assisted By Neural Networks.

Degree: MS, Computer Science, 2016, Cal Poly

  It can be difficult to guide yourself across a crosswalk when your visual capabilities are limited, which can be an everyday issue for someone… (more)

Subjects/Keywords: Computer Science; Vision; Zebra Crosswalk; Neural Networks; Visually Impaired

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APA (6th Edition):

Banich, J. D. (2016). Zebra Crosswalk Detection Assisted By Neural Networks. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1564 ; 10.15368/theses.2016.44

Chicago Manual of Style (16th Edition):

Banich, Jason David. “Zebra Crosswalk Detection Assisted By Neural Networks.” 2016. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/1564 ; 10.15368/theses.2016.44.

MLA Handbook (7th Edition):

Banich, Jason David. “Zebra Crosswalk Detection Assisted By Neural Networks.” 2016. Web. 05 Jun 2020.

Vancouver:

Banich JD. Zebra Crosswalk Detection Assisted By Neural Networks. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/1564 ; 10.15368/theses.2016.44.

Council of Science Editors:

Banich JD. Zebra Crosswalk Detection Assisted By Neural Networks. [Masters Thesis]. Cal Poly; 2016. Available from: https://digitalcommons.calpoly.edu/theses/1564 ; 10.15368/theses.2016.44

8. Cross, Nicholas Stewart. Onboard Video Stabilization for Unmanned Air Vehicles.

Degree: MS, Computer Science, 2011, Cal Poly

  Unmanned Air Vehicles (UAVs) enable the observation of hazardous areas without endangering a pilot. Observational capabilities are provided by on-board video cameras and images… (more)

Subjects/Keywords: video stabilization; blackfin; embedded systems; unmanned air vehicles; uav; optimizations; Other Computer Sciences

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APA (6th Edition):

Cross, N. S. (2011). Onboard Video Stabilization for Unmanned Air Vehicles. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/507 ; 10.15368/theses.2011.67

Chicago Manual of Style (16th Edition):

Cross, Nicholas Stewart. “Onboard Video Stabilization for Unmanned Air Vehicles.” 2011. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/507 ; 10.15368/theses.2011.67.

MLA Handbook (7th Edition):

Cross, Nicholas Stewart. “Onboard Video Stabilization for Unmanned Air Vehicles.” 2011. Web. 05 Jun 2020.

Vancouver:

Cross NS. Onboard Video Stabilization for Unmanned Air Vehicles. [Internet] [Masters thesis]. Cal Poly; 2011. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/507 ; 10.15368/theses.2011.67.

Council of Science Editors:

Cross NS. Onboard Video Stabilization for Unmanned Air Vehicles. [Masters Thesis]. Cal Poly; 2011. Available from: https://digitalcommons.calpoly.edu/theses/507 ; 10.15368/theses.2011.67

9. Chang, Spencer J. Brain Tumor Classification Using Hit-or-Miss Capsule Layers.

Degree: MS, Computer Science, 2019, Cal Poly

  The job of classifying or annotating brain tumors from MRI images can be time-consuming and difficult, even for radiologists. To increase the survival chances… (more)

Subjects/Keywords: Artificial Intelligence and Robotics

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APA (6th Edition):

Chang, S. J. (2019). Brain Tumor Classification Using Hit-or-Miss Capsule Layers. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/2006 ; 10.15368/theses.2019.26

Chicago Manual of Style (16th Edition):

Chang, Spencer J. “Brain Tumor Classification Using Hit-or-Miss Capsule Layers.” 2019. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/2006 ; 10.15368/theses.2019.26.

MLA Handbook (7th Edition):

Chang, Spencer J. “Brain Tumor Classification Using Hit-or-Miss Capsule Layers.” 2019. Web. 05 Jun 2020.

Vancouver:

Chang SJ. Brain Tumor Classification Using Hit-or-Miss Capsule Layers. [Internet] [Masters thesis]. Cal Poly; 2019. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/2006 ; 10.15368/theses.2019.26.

Council of Science Editors:

Chang SJ. Brain Tumor Classification Using Hit-or-Miss Capsule Layers. [Masters Thesis]. Cal Poly; 2019. Available from: https://digitalcommons.calpoly.edu/theses/2006 ; 10.15368/theses.2019.26

10. Ng, Matthew James. Corridor Navigation for Monocular Vision Mobile Robots.

Degree: MS, Electrical Engineering, 2018, Cal Poly

  Monocular vision robots use a single camera to process information about its environment. By analyzing this scene, the robot can determine the best navigation… (more)

Subjects/Keywords: Autonomous; Computer Vision; Mobile Robots; Person Detection; Computer and Systems Architecture; Robotics; Signal Processing

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APA (6th Edition):

Ng, M. J. (2018). Corridor Navigation for Monocular Vision Mobile Robots. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1856 ; 10.15368/theses.2018.54

Chicago Manual of Style (16th Edition):

Ng, Matthew James. “Corridor Navigation for Monocular Vision Mobile Robots.” 2018. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/1856 ; 10.15368/theses.2018.54.

MLA Handbook (7th Edition):

Ng, Matthew James. “Corridor Navigation for Monocular Vision Mobile Robots.” 2018. Web. 05 Jun 2020.

Vancouver:

Ng MJ. Corridor Navigation for Monocular Vision Mobile Robots. [Internet] [Masters thesis]. Cal Poly; 2018. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/1856 ; 10.15368/theses.2018.54.

Council of Science Editors:

Ng MJ. Corridor Navigation for Monocular Vision Mobile Robots. [Masters Thesis]. Cal Poly; 2018. Available from: https://digitalcommons.calpoly.edu/theses/1856 ; 10.15368/theses.2018.54

11. Clarke, Nicholas Joseph. Calculating Staircase Slope from a Single Image.

Degree: MS, Computer Science, 2015, Cal Poly

  Realistic modeling of a 3D environment has grown in popularity due to the increasing realm of practical applications. Whether for practical navigation purposes, entertainment… (more)

Subjects/Keywords: Depth; Computer Vision; Staircase; 3D Modeling; Artificial Intelligence and Robotics; Theory and Algorithms

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APA (6th Edition):

Clarke, N. J. (2015). Calculating Staircase Slope from a Single Image. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1438 ; 10.15368/theses.2015.91

Chicago Manual of Style (16th Edition):

Clarke, Nicholas Joseph. “Calculating Staircase Slope from a Single Image.” 2015. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/1438 ; 10.15368/theses.2015.91.

MLA Handbook (7th Edition):

Clarke, Nicholas Joseph. “Calculating Staircase Slope from a Single Image.” 2015. Web. 05 Jun 2020.

Vancouver:

Clarke NJ. Calculating Staircase Slope from a Single Image. [Internet] [Masters thesis]. Cal Poly; 2015. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/1438 ; 10.15368/theses.2015.91.

Council of Science Editors:

Clarke NJ. Calculating Staircase Slope from a Single Image. [Masters Thesis]. Cal Poly; 2015. Available from: https://digitalcommons.calpoly.edu/theses/1438 ; 10.15368/theses.2015.91

12. LeBeau, Andrew David. HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS.

Degree: MS, Computer Science, 2012, Cal Poly

  In recent wireless sensor network research, using a mobile data center (sink) to collect data has shown the ability to decrease the overall energy… (more)

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APA (6th Edition):

LeBeau, A. D. (2012). HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/858 ; 10.15368/theses.2012.175

Chicago Manual of Style (16th Edition):

LeBeau, Andrew David. “HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS.” 2012. Masters Thesis, Cal Poly. Accessed June 05, 2020. https://digitalcommons.calpoly.edu/theses/858 ; 10.15368/theses.2012.175.

MLA Handbook (7th Edition):

LeBeau, Andrew David. “HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS.” 2012. Web. 05 Jun 2020.

Vancouver:

LeBeau AD. HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS. [Internet] [Masters thesis]. Cal Poly; 2012. [cited 2020 Jun 05]. Available from: https://digitalcommons.calpoly.edu/theses/858 ; 10.15368/theses.2012.175.

Council of Science Editors:

LeBeau AD. HIERARCHICAL ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS. [Masters Thesis]. Cal Poly; 2012. Available from: https://digitalcommons.calpoly.edu/theses/858 ; 10.15368/theses.2012.175

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