Aspects of autonomous drive control using NVIDIA Jetson Nano microcomputer

Podbucki, Kacper; Marciniak, Tomasz

doi:10.15439/2022f89

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…An SBC consists of the central processing unit (CPU), random access memory (RAM), solid-state storage (SSS), and peripheral ports combined into a small form factor printed circuit board (PCB) [23][24][25][26][27]. The main two candidates for SBC were Nvidia Jetson Nano 4GB [28][29][30][31] and Raspberry Pi 4 Model B 8GB [32][33][34][35]. Nvidia Jetson Nano has a much more powerful graphics processing unit (GPU), which makes it ideal for computer vision and machine learning tasks, while the Raspberry Pi 4 Model B has the best overall computing power and a vast number of compatible modules and community support.…”

Section: Hardware Developmentmentioning

confidence: 99%

An Intelligent Compaction Analyzer: A Versatile Platform for Real-Time Recording, Monitoring, and Analyzing of Road Material Compaction

Ranasinghe,

Sounthararajah,

Kodikara

2023

Sensors

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Intelligent compaction (IC) is a technology that uses non-contact sensors to monitor and record the compaction level of geomaterials in real-time during road construction. However, current IC devices have several limitations: (i) they are unable to visualize or compare multiple intelligent compaction measurement values (ICMVs) in real-time during compaction; (ii) they are not retrofittable to different conventional rollers that exist in the field; (iii) they do not incorporate corrections for ICMVs reflecting variable field conditions; (iv) they are unable to integrate construction specifications as needed for performance-based compaction; and (v) they do not record all the key roller parameters for further compaction analysis. To address these issues, an innovative retrofittable platform with cutting-edge hardware and software was developed. This platform, called the intelligent compaction analyzer (ICA) platform, is effective at calculating conventional acceleration amplitude-based ICMVs and stiffness-based parameters and at displaying the spatial distributions of these parameters in a color-coded map in real-time during compaction.

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Section: Hardware Developmentmentioning

confidence: 99%

An Intelligent Compaction Analyzer: A Versatile Platform for Real-Time Recording, Monitoring, and Analyzing of Road Material Compaction

Ranasinghe,

Sounthararajah,

Kodikara

2023

Sensors

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“…The ground side uses Nvidia NX board [9] and small touch screen display as the hardware part, NX board is added with 5G communication module, and the ground station uses Android system as the platform, in which QGC software is run. The secondary development of QGC is used as the ground station platform to realize the ground side remote control tuning function, which is convenient for users to modify the parameters of the aircraft in outdoor.…”

Section: Control System Hardwarementioning

confidence: 99%

Design of a dual-propeller multi-rotor UAV with redundant flight control and NVIDIA microcomputer

Xia

Jiang

Zhou

et al. 2023

Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023)

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For the requirements of Unmanned Aerial Vehicles (UAVs) in high payload and small space, the aircraft needs to have the characteristics of high payload, small size and stable control system. This paper designs a coaxial twin-propeller multi-rotor UAV based on the combined control of redundant flight controller and NVIDIA microcomputer. Compared with traditional quadcopter UAVs, each axis is equipped with dual motors and dual propellers in this structure, which not only has high load-bearing capacity but also greatly reduces the occupied space of the aircraft. Through actual tests, it is found that the failure rate is almost 0 with the support of redundant flight controller, and the combined control system can hover stably and locate accurately under harsh conditions. Compared with the traditional flight control system, the system has better maneuverability and lower error offset when the UAV is under high payloads, making it more suitable for the aircraft with coaxial double-propeller multi-rotor structure.

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“…An SBC consists of the central processing unit (CPU), random access memory (RAM), solid-state storage (SSS) and peripheral ports combined into a small form factor printed circuit board (PCB) 29,30,31,32,33 . The main two candidates for SBC were Nvidia Jetson Nano 4GB 34,35,36,37 and Raspberry Pi 4 Model B 8GB 38,39,40,41 . Nvidia Jetson Nano has a much more powerful Graphics processing unit (GPU), which makes it ideal for computer vision and machine learning tasks while the Raspberry Pi 4 Model B has the best overall computing power and a vast number of compatible modules and community support.…”

Section: Development Of the Ica Platformmentioning

confidence: 99%

An Intelligent Compaction Analyser: A versatile platform for real-time recording, monitoring and analysing of road material compaction

Ranasinghe

Sounthararajah

Kodikara

2022

Preprint

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This study aims to develop an innovative retrofittable platform with cutting-edge hardware and software tools to advance the current state of intelligent compaction technology. We built a prototype of this platform from the ground up, hereafter referred to as the Intelligent Compaction Analyser (ICA) platform. This platform is designed to provide the following novel features: [i] simultaneous visualisation of multiple intelligent compaction measurement values (ICMVs) in real-time during compaction; [ii] versatility to retrofit to an existing conventional roller; [iii] ability to incorporate corrections for different ICMV parameters reflecting variable field conditions; [iv] customization of construction specifications as needed for performance-based compaction; [v] ability to record key roller parameters such as speed, vibration frequency and amplitude for further analysis; and (vi) capability to monitor the raw vibration signal pattern and its frequency spectrum. In this paper, we provide the basic design concepts of this platform, outline its functionalities and capabilities, and provide initial field validation results. The results show that the ICA platform is effective in calculating conventional acceleration amplitude-based ICMVs and stiffness-based parameters, and in displaying the spatial distributions of these parameters in a colour-coded map in real-time during compaction.

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Aspects of autonomous drive control using NVIDIA Jetson Nano microcomputer

Cited by 5 publications

References 5 publications

An Intelligent Compaction Analyzer: A Versatile Platform for Real-Time Recording, Monitoring, and Analyzing of Road Material Compaction

An Intelligent Compaction Analyzer: A Versatile Platform for Real-Time Recording, Monitoring, and Analyzing of Road Material Compaction

Design of a dual-propeller multi-rotor UAV with redundant flight control and NVIDIA microcomputer

An Intelligent Compaction Analyser: A versatile platform for real-time recording, monitoring and analysing of road material compaction

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