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Search results for segmentation robotics

23 search results found

Jetson Inference ⭐ 7,038

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Pointcnn ⭐ 1,176

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Awesome Autonomous Vehicle ⭐ 462

无人驾驶的资源列表中文版

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Cvpr 2023 Papers ⭐ 185

CVPR 2023 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. A star in the development of visual intelligence!

Pose Interpreter Networks ⭐ 115

Real-time robotic object pose estimation with deep learning

Robond Perception Exercises ⭐ 87

Perception Exercises for Robotics

Seg By Interaction ⭐ 77

Unsupervised instance segmentation via active robot interaction

SymSeg: Model-Free Object Segmentation in Point Clouds Using the Symmetry Constraint.

Learn_region_grow ⭐ 28

LRGNet: Learnable Region Growing for Point Cloud Segmentation

Modular_semantic_segmentation ⭐ 19

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

[ICLR 2020] Learning to Move with Affordance Maps 🤖💨🗺️

Paper Survey ⭐ 15

Follow Me ⭐ 11

Deep learning architecture to help a drone target and follow people

Map Alignment Nonrigid Optimization 2d ⭐ 10

Nonrigid Optimization of Multimodal 2D Map Alignment

Opendataset ⭐ 10

Open data set for Robotics Lab, Institute of Cyber-Systems and Control Zhejiang University

Hrp2_apc ⭐ 10

3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map (Humanoids2016)

Cutting most types of maps in smaller more meaningful bits.

Map Alignment 2d ⭐ 9

2D Map Alignment With Region Decomposition

Autonomous_stair_climbing_robot_v2 ⭐ 8

Deep Learning based pipeline for alignment of a robot with stairs

Deeplearningdronesimulator ⭐ 7

This project is about training a deep neural network to identify and track a target in simulation so-called “follow me”. Applications like this are key to many fields of robotics and the very same techniques you apply here can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration in industry.

Global Reasoned Multi Task Model ⭐ 6

PyTorch Implementation of "Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding" (ICRA '22, RA-L)

Eddiebot Ros ⭐ 5

ROS packages for Parallax Eddie Robot

Segment_lane_lines ⭐ 5

ROS package for semantic segmentation of lane lines, and homographic transformation of the segmented image for rebroadcasting as a point cloud.

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