Name
Affiliation
Papers
FILIPE NEVES DOS SANTOS
INESC TEC, INESC Porto, Campus FEUP,Rua Dr Roberto Frias 378, Oporto, Portugal
34
Collaborators
Citations 
PageRank 
100
23
12.24
Referers 
Referees 
References 
67
183
69
Search Limit
100183
Title
Citations
PageRank
Year
Evaluating The Single-Shot Multibox Detector And Yolo Deep Learning Models For The Detection Of Tomatoes In A Greenhouse10.342021
A Review of Pruning and Harvesting Manipulators10.402021
Visible And Thermal Image-Based Trunk Detection With Deep Learning For Forestry Mobile Robotics00.342021
Particle Filter Refinement Based On Clustering Procedures For High-Dimensional Localization And Mapping Systems10.362021
A Camera To Lidar Calibration Approach Through The Optimization Of Atomic Transformations10.362021
Autonomous Robot Visual-Only Guidance in Agriculture Using Vanishing Point Estimation00.342021
A Case Study On Improving The Software Dependability Of A Ros Path Planner For Steep Slope Vineyards00.342021
Tomato Detection Using Deep Learning for Robotics Application00.342021
Path Planning for ground robots in agriculture: a short review10.362020
Path Planning Aware of Robot's Center of Mass for Steep Slope Vineyards.20.382020
Localization And Mapping For Robots In Agriculture And Forestry: A Survey30.432020
Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short Review00.342019
Path Planning Algorithms Benchmarking for Grapevines Pruning and Monitoring.00.342019
Localization Based on Natural Features Detector for Steep Slope Vineyards.30.422019
Path Planning approach with the extraction of Topological Maps from Occupancy Grid Maps in steep slope vineyards00.342019
Parallelization of a Vine Trunk Detection Algorithm For a Real Time Robot Localization System00.342019
Metbots: Metabolomics Robots for Precision Viticulture.00.342019
Monocular Visual Odometry Using Fisheye Lens Cameras.10.362019
Vineyard Segmentation from Satellite Imagery Using Machine Learning.00.342019
Monocular Visual Odometry Benchmarking and Turn Performance Optimization00.342019
Low-Cost IoT LoRa®Solutions for Precision Agriculture Monitoring Practices.00.342019
Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDAR-Based Sensor00.342019
A Low-Cost System to Estimate Leaf Area Index Combining Stereo Images and Normalized Difference Vegetation Index00.342019
EyeLSD a Robust Approach for Eye Localization and State Detection.20.362018
Online Object Trajectory Classification Using FPGA-SoC Devices.00.342018
Path planning aware of soil compaction for steep slope vineyards00.342018
Redundant robot localization system based in wireless sensor network00.342018
Path Planning for Automatic Recharging System for Steep-Slope Vineyard Robots.00.342017
Robot Localization System in a Hard Outdoor Environment.00.342017
Vine Trunk Detector for a Reliable Robot Localization System00.342016
EyeLHM: Real-Time Vision-Based approach for Eye Localization and Head Motion Estimation00.342016
Towards a Reliable Robot for Steep Slope Vineyards Monitoring.30.502016
Automatic Eye Localization; Multi-Block Lbp Vs. Pyramidal Lbp Three-Levels Image Decomposition For Eye Visual Appearance Description20.412015
Agricultural Wireless Sensor Mapping for Robot Localization.20.462015