6 papers
TurboMap: GPU-Accelerated Local Mapping for Visual SLAM
Parsa Hosseininejad, Kimia Khabiri, Shishir Gopinath +3
In real-time Visual SLAM systems, local mapping must operate under strict latency constraints, as delays degrade map quality and increase the risk of tracking failure. GPU parallel…
FastTrack: GPU-Accelerated Tracking for Visual SLAM
Kimia Khabiri, Parsa Hosseininejad, Shishir Gopinath +2
The tracking module of a visual-inertial SLAM system processes incoming image frames and IMU data to estimate the position of the frame in relation to the map. It is important for…
Graphite: A GPU-Accelerated Mixed-Precision Graph Optimization Framework
Shishir Gopinath, Karthik Dantu, Steven Y. Ko
We present Graphite, a GPU-accelerated nonlinear least squares graph optimization framework. It provides a CUDA C++ interface to enable the sharing of code between a real-time appl…
AnyNav: Visual Neuro-Symbolic Friction Learning for Off-road Navigation
Taimeng Fu, Zitong Zhan, Zhipeng Zhao +7
Off-road navigation is critical for a wide range of field robotics applications from planetary exploration to disaster response. However, it remains a longstanding challenge due to…
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting
Vaishali Maheshkar, Aadarsh Anantha Ramakrishnan, Charuvahan Adhivarahan +1
According to the EPA, only 25% of waste is recycled, and just 60% of U.S. municipalities offer curbside recycling. Plastics fare worse, with a recycling rate of only 8%; an additio…
Empir3D : A Framework for Multi-Dimensional Point Cloud Assessment
Yash Turkar, Pranay Meshram, Christo Aluckal +2
Advancements in sensors, algorithms, and compute hardware have made 3D perception feasible in real time. Current methods to compare and evaluate the quality of a 3D model, such as…