Accurate reconstruction of static environments from LiDAR scans of scenes containing dynamic
objects, which we refer to as Dynamic to Static Translation (DST), is an important area of …

We consider the problem of an agent/robot with non-holonomic kinematics avoiding dynamic
and static obstacles. Additionally there may be bounds/constraints on the configurational …

We consider the problem of an agent/robot with non-holonomic kinematics avoiding many
dynamic obstacles. State and velocity noise of both the robot and obstacles as well as the …

As our group programmed a calculator throughout this semester, we learned a lot about the
specifics about the HP 20b business calculator, while also discovered the basics of …

… I would also like to acknowledge Caitlin Fedio, Vanshil Shah, and Naimun Siraj for their
continued friendship since college. Finally, I am exceptionally grateful to my parents, Mukta …

Sparse LiDAR point clouds cause severe loss of detail of static structures and reduce the
density of static points available for navigation. Reduced density can be detrimental to …

We investigate a new paradigm that uses differentiable SLAM architectures in a self-supervised
manner to train end-to-end deep learning models in various LiDAR based applications. …

Accurate detection of movable and moving objects in LiDAR is of vital importance for navigation.
Most existing works focus on extracting and removing moving objects during navigation. …

The widespread adoption of learning-based methods for the LiDAR makes autonomous
vehicles vulnerable to adversarial attacks through adversarial point injections (PiJ). It poses …

Objective: The outcomes of patients treated on the COVID-minimal pathway were evaluated
during a period of surging COVID-19 hospital admissions, to determine the safety of …