Essays about: "Stereo Camera"
Showing result 11 - 15 of 75 essays containing the words Stereo Camera.
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11. Inferring 3D trajectory from monocular data using deep learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Trajectory estimation, with regards to reconstructing a 3D trajectory from a 2D trajectory, is commonly achieved using stereo or multi camera setups. Although projections from 3D to 2D suffer significant information loss, some methods approach this problem from a monocular perspective to address limitations of multi camera systems, such as requiring points in to be observed by more than one camera. READ MORE
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12. Deep Reinforcement Learning for Complete Coverage Path Planning in Unknown Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Mobile robots must operate autonomously, often in unknown and unstructured environments. To achieve this objective, a robot must be able to correctly per- ceive its environment, plan its path, and move around safely, without human su- pervision. Navigation from an initial position to a target location has been a chal- lenging problem in robotics. READ MORE
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13. Collision Avoidance for a Fence Inspecting Drone Operating at an Airport
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Many important facilities are surrounded by security fences that need to be regularly inspected for damage. To automate this task it has been proposed to use a drone equipped with a camera. READ MORE
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14. Evaluation and Analysis of Perception Systems for Autonomous Driving
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : For safe mobility, an autonomous vehicle must perceive the surroundings accurately. There are many perception tasks associated with understanding the local environment such as object detection, localization, and lane analysis. READ MORE
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15. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. READ MORE
