Ultra wideband digital receiver implemented on FPGA for mobile robot indoor self-localization

Segura, Marcelo; Sisterna, Cristian; Guzzo, Martin; Ensinck, Gustavo; Gil, C.

doi:10.1109/spl.2011.5782632

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…• Localization [1150][1151][1152][1153][1154][1155][1156] • Trajectory/path planing [498,[1157][1158][1159][1160][1161][1162][1163] • Visual servoing [483,[1164][1165][1166][1167][1168][1169] • Navigation [11,1153,[1170][1171][1172][1173] • Stereo vision [1173][1174][1175][1176][1177] • Object/person follower/tracking [1168,[1178][1179][1180] • Ultrasonic Sensors [1181][1182][1183][1184][1185] • Robot Operating System (ROS) [1153,[1186][1187][1188][1189] • Educational [1190]…”

Section: Other Applicationsmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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Field Programmable Gate Array (FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems on chip or even artificial intelligence systems. Scientific publications related to FPGA started in 1992 and, up to now, we found more than 70,000 documents in the two leading scientific databases (Scopus and Clarivative Web of Science). These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system for the kilogram redefinition, to the Mars rovers’ navigation systems. This paper reviews the top FPGAs’ applications by a scientometric analysis in ScientoPy, covering publications related to FPGAs from 1992 to 2018. Here we found the top 150 applications that we divided into the following categories: digital control, communication interfaces, networking, computer security, cryptography techniques, machine learning, digital signal processing, image and video processing, big data, computer algorithms and other applications. Also, we present an evolution and trend analysis of the related applications.

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Section: Other Applicationsmentioning

confidence: 99%

Field Programmable Gate Array Applications—A Scientometric Review

2019

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Profile generation using the filtering technique for the fast motion and smooth performance in the hardware level of autonomous system

Lam,

Ngo,

Ngo

2023

IET Science Measure & Tech

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This study addresses the challenge of motion control in autonomousvehicles through the introduction of a novel profile generation design. Specifically,autonomous vehicles often contend with uncertain factors and physicallimitations within their operational environments, such as abrupt changes inacceleration or intricate parametric motion profiles. To tackle this problem, afiltering technique for motion profile generation is proposed, leveraging ahardware programming language as its foundation. The investigation begins byanalyzing the specific structure of the mobile platform, which includes twoactive side wheels, two passive rear wheels, a high load capacity, and adifferential drive mode. Building upon this theoretical basis, the proposedfiltering technique is introduced to attain smooth motion profiles and optimizetiming. Furthermore, the study suggests the use of FPGA (Field ProgrammableGate Array) acceleration to expedite these computations for swift motionprocessing. To validate the efficacy of the proposed method, both the mobilevehicle and the load are simulated as a one‐axis linear ball‐screw system withan aluminum ruler. The experimental results unequivocally demonstrate theeffectiveness, feasibility, and applicability of the proposed approach across avariety of industrial solutions.

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Ultra wideband digital receiver implemented on FPGA for mobile robot indoor self-localization

Cited by 2 publications

References 11 publications

Field Programmable Gate Array Applications—A Scientometric Review

Field Programmable Gate Array Applications—A Scientometric Review

Profile generation using the filtering technique for the fast motion and smooth performance in the hardware level of autonomous system

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