Methods of invisibility and multi-dimensional display

Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2009.Cataloged from PDF version of thesis.Includes bibliographical references (p. 49).Modern methods of multidimensional display are extremely limited in their depiction of three dimensional environments. Improving upon modern integral imaging displays with respect to viewing angle and angular resolution, a new method is proposed consisting of spherical lenses to focus incident light to an imaging surface. A theoretically exact model is provided in addition to a number of feasible physical approximation alternatives for different components of the model. This model can be extended for applications in multidimensional display and invisibility.by Jason Ku.S.B

Joint 3D Proposal Generation and Object Detection from View Aggregation

We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios. The proposed neural network architecture uses LIDAR point clouds and RGB images to generate features that are shared by two subnetworks: a region proposal network (RPN) and a second stage detector network. The proposed RPN uses a novel architecture capable of performing multimodal feature fusion on high resolution feature maps to generate reliable 3D object proposals for multiple object classes in road scenes. Using these proposals, the second stage detection network performs accurate oriented 3D bounding box regression and category classification to predict the extents, orientation, and classification of objects in 3D space. Our proposed architecture is shown to produce state of the art results on the KITTI 3D object detection benchmark while running in real time with a low memory footprint, making it a suitable candidate for deployment on autonomous vehicles. Code is at: https://github.com/kujason/avodComment: For any inquiries contact aharakeh(at)uwaterloo(dot)c

Folding Flat Crease Patterns With Thick Materials

Modeling folding surfaces with nonzero thickness is of practical interest for mechanical engineering. There are many existing approaches that account for material thickness in folding applications. We propose a new systematic and broadly applicable algorithm to transform certain flat-foldable crease patterns into new crease patterns with similar folded structure but with a facet-separated folded state. We provide conditions on input crease patterns for the algorithm to produce a thickened crease pattern avoiding local self-intersection, and provide bounds for the maximum thickness that the algorithm can produce for a given input. We demonstrate these results in parameterized numerical simulations and physical models.National Science Foundation (U.S.) (Origami Design for Integration of Self-assembling Systems for Engineering Innovation (ODISSEI Grant No. EFRI-1240383))National Science Foundation (U.S.) (NSF Expedition Grant No. CCF-1138967

Rigid Origami Vertices: Conditions and Forcing Sets

We develop an intrinsic necessary and sufficient condition for single-vertex origami crease patterns to be able to fold rigidly. We classify such patterns in the case where the creases are pre-assigned to be mountains and valleys as well as in the unassigned case. We also illustrate the utility of this result by applying it to the new concept of minimal forcing sets for rigid origami models, which are the smallest collection of creases that, when folded, will force all the other creases to fold in a prescribed way

Origami tomography

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.Cataloged from PDF version of thesis.Includes bibliographical references (p. 65-66).This thesis analyzes two dimensional tomographic imaging of surface objects with negligible volume, concentrating on piecewise linear surfaces similar to folded origami. In contrast to the large number of projections usually necessary in traditional tomographic imaging, information is extracted directly from a small number of Radon projections. Furthermore, piecewise linear chains are shown to be fully characterized from just two sampled Radon projections, assuming perfect sampling resolution of these projections.by Jason Ku.S.M

Microprocessor manufacturing throuhput time variability

Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1994, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1994.Includes bibliographical references (p. ).by Jason Ku.M.S