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Object Detection, Classification, And Tracking For Autonomous Vehicle, Milan Aryal
Object Detection, Classification, And Tracking For Autonomous Vehicle, Milan Aryal
Masters Theses
The detection and tracking of objects around an autonomous vehicle is essential to operate safely. This paper presents an algorithm to detect, classify, and track objects. All objects are classified as moving or stationary as well as by type (e.g. vehicle, pedestrian, or other). The proposed approach uses state of the art deep-learning network YOLO (You Only Look Once) combined with data from a laser scanner to detect and classify the objects and estimate the position of objects around the car. The Oriented FAST and Rotated BRIEF (ORB) feature descriptor is used to match the same object from one image …
Optical Tracking System To Monitor Laparoscopic Training, William D. Rytlewski
Optical Tracking System To Monitor Laparoscopic Training, William D. Rytlewski
Masters Theses
Laparoscopic Surgery, also known as Minimally Invasive Surgery, is a surgical technique where surgeons perform surgery through small incisions in the patient’s abdomen using a camera to monitor the movements of the instruments inside the patient. In order for the surgery to be performed, the surgeon must possess a unique set of skills obtained through training using a variety of techniques. Simulators are the preferred method of training for laparoscopic surgery since they provide medical residents with real world scenarios as well as a tremendous amount of feedback on what he/she did wrong or right. However, due to the high …