Robotics with GPU computing
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Jun 25, 2026 - C++
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Robotics with GPU computing
python robotics gpu voxel cuda pathfinding point-cloud collision-detection ros registration gpgpu distance-transform odometry jetson pybind11 visual-odometry occupancy-grid-map triangle-mesh
Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
python algorithm cpp numpy parallel neuroscience signed-distance-field connectomics signed-distance-functions distance-transform 3d 2d biomedical-image-processing 1d anisotropy euclidean-distance anisotropic euclidean-distance-transform marching-parabolas
Compute the exact Euclidean Distance Transform and Voronoi Diagram for 2D and 3D binary images using the GPU.
A ROS package for converting OccupancyGrid/Costmap2D to 2D distance map.
GPU Accelerated Euclidean Distance Transform
WebGL2 based implementation of distance transform and diffusion curves
A ROS costmap plugin for Euclidean distance map based on OpenCV distance transform function.
Figma's Liquid Glass effect rebuilt as a real-time WebGL2 renderer. Design glass on any shape or SVG path, then export a copy-paste config. Adds Reach and Soften — two controls Figma doesn't have.
javascript ui-design webgl frontend creative-coding shaders graphics glsl web-worker signed-distance-field refraction webgl2 figma distance-transform vite glassmorphism vibe-coding liquid-glass liquid-glass-effect
An image processing library, including methods of filtering, object detection, noise reduction, etc
image-processing thresholding distance-transform connected-component-labelling median-filter histogram-filters averaging-filter
Introduces and solves the under-specified Reeds-Shepp problem: find the vehicle orientation that results in the shortest path.
path-planning distance-transform car-like-robots reeds-shepp-planner reeds-shepp reeds-shepp-curves shortest-distance nonholonomic-robot under-specified-reeds-shepp nonholonomic-planning
C++17 reference implementation of camera map-matching localization: rasterize lane/road-boundary perception to distance transforms, score a 3-DOF (x, y, yaw) pose grid against a polyline map, temporally aggregate, and fuse into an SE(3) Kalman filter. Optional CUDA; KITTI eval, benchmarks, and RViz/PNG visualization.
computer-vision localization cpp robotics cuda perception self-driving-car cpp17 map-matching slam autonomous-driving sensor-fusion ekf distance-transform kalman-filter kitti-dataset pose-estimation ros2 kitti hd-map
Testing methods for dequantization of RGBD data
Euclidean distance transform
Matlab image processing programs without using built-in functions.
distance-transform connected-component-labelling image-conversion euclidean-distance-transform using-4-connectivity gray-to-binary d4-distance-transform d8-distance-transform
Image filters in pure NumPy with O(1) cost per pixel: box mean, guided filter, van Herk/Gil-Werman morphology, exact Euclidean distance transform
This repository provides an end-to-end implementation of a multi-output U-Net that supports both segmentation and classification, along with a set of distance-based loss functions for improved boundary prediction.
deep-learning pytorch distance-transform semantic-segmentation distributed-training u-net boundary-loss
This repository presents the complete code of the paper titled "Learning Free Line Detection in Manuscripts using Distance Transform Graph" published in ICDAR2019.
Where can a drone land? YOLO26-sem labels the ground below it, and a rule in metres picks the nearest clear spot away from people.
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