Search Results for author:
Found 6 papers, 2 papers with code
TRADE: Object Tracking with 3D Trajectory and Ground Depth Estimates for UAVs
We propose TRADE for robust tracking and 3D localization of a moving target in cluttered environments, from UAVs equipped with a single camera.
Optimizing Terrain Mapping and Landing Site Detection for Autonomous UAVs
The next generation of Mars rotorcrafts requires on-board autonomous hazard avoidance landing.
TACO: Trash Annotations in Context for Litter Detection
TACO is an open image dataset for litter detection and segmentation, which is growing through crowdsourcing.
Fast Cylinder and Plane Extraction from Depth Cameras for Visual Odometry
This paper presents CAPE, a method to extract planes and cylinder segments from organized point clouds, which processes 640x480 depth images on a single CPU core at an average of 300 Hz, by operating on a grid of planar cells.
SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation from RGB-D Camera Motion
To address this issue, this paper presents a visual odometry method based on point and line features that leverages both measurements from a depth sensor and depth estimates from camera motion.
Probabilistic Combination of Noisy Points and Planes for RGB-D Odometry
This work proposes a visual odometry method that combines points and plane primitives, extracted from a noisy depth camera.
