This folder contains the implementation of two tasks as part of the CS554 Fall 2024 Homework. The project includes code for stitching images and calculating disparity maps for stereo image pairs. The ...

Graduate School of Science and Technology, Meijo University, Nagoya, Japan Obstacle avoidance is important for autonomous driving. Metric scale obstacle detection using a monocular camera for obstacle ...

Disaggregated evaluation—estimating the performance of a machine learning model on different subpopulations—is an important task in the performance and group-fairness assessment of AI systems. However ...

Abstract: The quality and coverage of signals within cellular networks are determined by base stations and their locations. The deployment of a base station relies on fine-grained radio maps. However, ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 46, No. 3 (September/septembre 2018), pp. 399-415 (17 pages) For sparse and high-dimensional data analysis, a valid ...

This project explores stereo vision techniques for depth estimation and 3D perception. It covers camera calibration, disparity map generation, depth map computation, and obstacle detection in 3D from ...

Abstract: Three-dimensional (3D) radio maps characterize the spatial distribution of received signal strength (RSS) in 3D space, providing a pivotal instrument for managing spectrum resources and ...