The winter of 2022–2023 has been an extremely wet one for California. The cold air from the North Pole rages down into the southern part of U.S. west coast, turning into heavy rain and snow. However, as a positive result, California is very likely to greet a splendid “super bloom” after several years of drought.

Of all the flowers, California Poppy could be one of the most iconic flower species that worth a visit. It grows only in the State of California (and probably in Baja California as well!) and has been recognized as the official state flower of California.

CAD2CAV is a project focusing on multi-agent exploration in unknown environments. It attempts to build a complete system from perception to planning and control, exploring a designated unknown environments with multiple autonomous vehicles. It is built in xLab at the University of Pennsylvania, on multiple F1TENTH race cars.

Useful documents:

• GitHub link
• Spring 2021 Final Report (not complete)

Demo

This is a sample scenario of a single F1TENTH race car exploring the 2nd floor of Levine Hall at the University of Pennsylvania, right outside xLab.

This is a project of a Vulkan implementation of Fast Volume Rendering with Spatiotemporal Reservoir Resampling. It achieves the following:

• Vulkan ray tracing pipeline with nvpro and Vulkan Ray Tracing KHR extension.
• Volume assets loading and rendering through OpenVDB.
• ReSTIR algorithm rendering on GLTF scene and volume assets.

Authors

• Zhihao Ruan (ruanzh@seas.upenn.edu), Shubham Sharma (sshubh@seas.upenn.edu), Raymond Yang (rayyang@seas.upenn.edu)
• Tested on: Windows 10 Home 21H1 Build 19043.1288, Ryzen 7 3700X @ 3.59GHz 48GB, RTX 2060 Super 8GB

This project requires an RTX-compatible (Vulkan Ray Tracing KHR-compatible) graphics card to run.

• Tested on: Windows 10 Home 21H1 Build 19043.1288, Ryzen 7 3700X @ 3.59GHz 48GB, RTX 2060 Super 8GB

• Tested on: Ubuntu 20.04 LTS, Ryzen 3700X @ 2.22GHz 48GB, RTX 2060 Super @ 7976MB