F
Felipe Nascimento Martins
Researcher at Hanze University of Applied Sciences
Publications - 31
Citations - 672
Felipe Nascimento Martins is an academic researcher from Hanze University of Applied Sciences. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 11, co-authored 26 publications receiving 555 citations. Previous affiliations of Felipe Nascimento Martins include Universidade Federal do Espírito Santo & International Foundation for Electoral Systems.
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Journal ArticleDOI
An adaptive dynamic controller for autonomous mobile robot trajectory tracking
Felipe Nascimento Martins,Wanderley Cardoso Celeste,Ricardo Carelli,Mario Sarcinelli-Filho,Teodiano Bastos-Filho +4 more
TL;DR: In this paper, an adaptive controller is proposed to guide an unicycle-like mobile robot during trajectory tracking, where the desired values of the linear and angular velocities are generated, considering only the kinematic model of the robot.
Journal ArticleDOI
Self-Localization Based on Visual Lane Marking Maps: An Accurate Low-Cost Approach for Autonomous Driving
Rafael Peixoto Derenzi Vivacqua,Massimo Bertozzi,Pietro Cerri,Felipe Nascimento Martins,Raquel Frizera Vassallo +4 more
TL;DR: The approach presented in this paper exploits a short-range visual lane marking detector and a dead reckoning system to construct a registry of the detected back lane markings corresponding to the last 240 m driven, sufficiently high to allow autonomous driving in a narrow road.
Journal ArticleDOI
A Velocity-Based Dynamic Model and Its Properties for Differential Drive Mobile Robots
TL;DR: A velocity-based dynamic model for differential drive mobile robots that also includes the dynamics of the robot actuators is presented and has linear and angular velocities as inputs and has been included in Peter Corke's Robotics Toolbox for MATLAB, therefore it can be easily integrated into simulation systems that have been built for the unicycle kinematics.
Journal ArticleDOI
A Low Cost Sensors Approach for Accurate Vehicle Localization and Autonomous Driving Application.
TL;DR: This article presents a low-cost architecture of sensors and data fusion algorithm capable of autonomous driving in narrow two-way roads that exploits a combination of a short-range visual lane marking detector and a dead reckoning system to build a long and precise perception of the lane markings in the vehicle’s backwards.
Proceedings ArticleDOI
A vision-based line following strategy for an autonomous UAV
TL;DR: The development of a vision-based line following strategy for an autonomous UAV to follow water channel margins, crop lines and other similar patterns, to support automatic monitoring and inspection activities is presented.