@Powersupply(YeungnamUniv.) @NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
The document describes the modeling and control of a quadrotor unmanned aerial vehicle (UAV). It first outlines various modeling assumptions. It then derives the nonlinear model, including kinematic and dynamic equations, by defining reference frames, rotational matrices, forces and moments. Linear models are developed by linearizing the nonlinear model. Finally, it discusses control design, analysis and simulation for the quadrotor.
Unmanned air vehicles (UAVs), commonly known as drones, can be fixed wing, helicopter-style, or quadrotor helicopters lifted and propelled by four rotors. Quadrotors have benefits like reliability, compactness, and low maintenance, but limited payload and flight time. They require less design complexity than fixed wing vehicles and do not need mechanical linkages like helicopters. Quadrotors can be controlled individually by varying each rotor's speed to control roll, pitch, lift, and yaw. They have many applications including military, disaster response, science, and commercial uses such as agriculture and cargo transport.
The document describes the development of an autonomous drone integrated with artificial intelligence and object detection capabilities. The drone is designed to follow a person or vehicle and respond during emergencies. It uses a Raspberry Pi computer along with cameras, sensors and a flight controller. The methodology involves building the drone, programming AI algorithms for object detection and tracking, and testing the autonomous functions. The goal is to create a user-friendly drone that can assist during emergencies or be used for surveillance through features like face recognition and response to detected signals.
This document discusses using drones for aerial imagery collection as a more cost-effective alternative to airplanes and helicopters. It notes that while large aircraft can image large areas at high resolution and accuracy, they are expensive for remote areas. Small drones can image smaller areas at lower resolutions but with average accuracy. The document then outlines the solution developed using a medium-sized fixed-wing drone carrying a small Sony camera to match the capabilities of plane-based imagery collection for remote areas at a lower cost.
This document summarizes HCChang's research interests and experience in dense visual simultaneous localization and mapping (SLAM). It begins with an overview of monoSLAM, PTAM, FAB-MAP and DTAM as examples of visual SLAM techniques. It then provides more detail on KinectFusion, the seminal dense visual SLAM method, and extensions like InfiniTAM, ElasticFusion and DynamicFusion. The document outlines HCChang's background and current work using time-of-flight cameras at EZImage to improve depth sensing. It proposes future work on dense visual SLAM including deploying to Nvidia's TX1 and TK1 platforms, adding loop closures and path optimization, and reconstruct
The document discusses autonomous vehicle technology known as "auto pilot mode" for cars. It describes how the technology works using sensors, radars and GPS to allow a car to drive itself on highways without human control. The major components are identified as radars, sensors, an advanced GPS system and a display unit. It also outlines some of the advantages like reduced accidents and increased road capacity but notes potential disadvantages around security and sensor failures.
This document discusses drones (also called unmanned aerial vehicles or UAVs). It provides information on what drones are, how they are manufactured, their launch and recovery systems, operating systems that allow them to be controlled remotely, the sensors they use, and their applications. It also discusses the aerodynamic designs of drones, common airframe materials, and navigation techniques. Potential advantages and disadvantages of drone usage are presented, followed by a short conclusion.
This document provides an overview and summary of a presentation on Simultaneous Localization and Mapping (SLAM). It introduces the speaker, Dong-Won Shin, and his background and research in SLAM. The contents of the presentation are then outlined, including an introduction to SLAM, traditional SLAM approaches like Extended Kalman Filter SLAM and FastSLAM, efforts towards large-scale mapping like graph-based SLAM and loop closure detection, modern state-of-the-art systems like ORB SLAM, KinectFusion and Lidar SLAM, and applications of SLAM. Key algorithms in visual odometry, backend optimization, and loop closure detection are also summarized.
Global Positioning System (GPS) is the only system today able to show one’s own position on the earth any time in any weather, anywhere. This paper addresses this satellite based navigation system at length. The different segments of GPS viz. space segment, control segment, user segment are discussed. In addition, how this amazing system GPS works, is clearly described. The various errors that degrade the performance of GPS are also included. DIFFERENTIAL GPS, which is used to improve the accuracy of measurements, is also studied. The need, working and implementation of DGPS are discussed at length. Finally, the paper ends with advanced application of GPS.
This power point presentation summarizes the key components and functioning of a quadcopter drone. It describes the main parts which include four brushless motors, electronic speed controllers, a CC3D flight controller, Li-Po battery, power distribution board, and transmitter and receiver. The presentation discusses the advantages of quadcopters like stability, flexibility for indoor use, and ability to enter any environment without a pilot. Applications mentioned include use in agriculture, delivery services, military, videography, and civil purposes. Disadvantages include hardware complexity, short flight duration, and need for frequent battery replacement.
Spacecraft Guidance, Navigation and Control QuizVishesh Vatsal
?
The document outlines the rules and questions for a GNC (guidance, navigation, and control) quiz. It contains 3 rounds of questions: Round 1 has 13 general questions worth 2 points each, Round 2 has 8 anagram questions worth 1 point each, and Round 3 has 2 connect questions worth 4 points each. The questions cover topics related to spacecraft systems, missions, concepts in GNC, and specific events.
Depth estimation do we need to throw old things awayNAVER Engineering
?
??? ?? : Human visual system ??? CNN for depth estimation? CNN inspired by conventional methods
Case1: Cross-channel stereo matching
Case2: Depth from light field
Case3: Multiview stereo
Conclusion
We discuss how GPS and IMU work together in the context of capturing vehicle motion and a simple technique for creating a trajectory from a sample set of IMU data. After part 1 & 2 you will be able to generate a point cloud by fusing the IMU trajectory and the LiDAR data.
LiDAR is an active remote sensing technique that uses laser light to image objects. It was invented in the 1960s and became popular after being used on the Apollo 15 mission to map the moon's surface. LiDAR works by measuring the time it takes for a laser pulse to be reflected off an object and return, allowing it to create precise 3D models of surfaces and objects. It has numerous applications like terrain mapping, forestry, archaeology and more due to its speed, accuracy and ability to capture dense point cloud data without human involvement. While powerful lasers pose safety risks, LiDAR provides significant advantages over passive imaging and is an important remote sensing tool.
Design and Implementation of a Quadrotor HelicopterHicham Berkouk
?
This is a project on building a quadrotor from scratch. From the history; physics and modeling to system hardware and software. The control algorithm is built arround a PID loop. For more details, please feel free to comment or send me an email to: hicham.berkouk@outlook.com
The document outlines topics for a drone training in Nepal, including aerial mission planning, flight parameters, types of missions, mission planning for different terrain, ground control points, flight planning for 2D and 3D outputs, and executing an aerial image capture mission. It discusses concepts like overlap, ground sampling distance, flying height, and how elevation changes affect these. It also provides examples of different mission types and good/bad ground control point distribution.
This document summarizes the design, modeling, components, and control strategy of a quadcopter unmanned aerial vehicle. Key aspects include:
1) It uses four propellers powered by brushless DC motors for vertical take-off and landing, with yaw, roll, and pitch control achieved by varying motor speeds.
2) An IMU, microcontroller, and PID controllers provide attitude estimation and motor control.
3) A complementary filter fuses gyroscope and accelerometer data to estimate orientation with drift correction.
4) Wireless transmission of sensor data and live video enable remote control and monitoring of flight.
Reinforcement Learning 7. n-step BootstrappingSeung Jae Lee
?
A summary of Chapter 7: n-step Bootstrapping of the book 'Reinforcement Learning: An Introduction' by Sutton and Barto. You can find the full book in Professor Sutton's website: http://incompleteideas.net/book/the-book-2nd.html
Check my website for more slides of books and papers!
https://www.endtoend.ai
This document discusses different types of missiles and missile guidance systems. It provides details on surface-to-surface, undersea-to-surface, surface-to-air, air-to-surface, and air-to-air missiles. It also describes anti-tank, anti-ship, anti-aircraft, anti-satellite, and ballistic missiles. Additionally, the document outlines cruise missile characteristics and various guidance systems including line-of-sight, pursuit guidance, and their limitations.
Custom TTS using multi-speaker-tacotron(nanheekim)Nanhee Kim
?
@NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
This document discusses drones (also called unmanned aerial vehicles or UAVs). It provides information on what drones are, how they are manufactured, their launch and recovery systems, operating systems that allow them to be controlled remotely, the sensors they use, and their applications. It also discusses the aerodynamic designs of drones, common airframe materials, and navigation techniques. Potential advantages and disadvantages of drone usage are presented, followed by a short conclusion.
This document provides an overview and summary of a presentation on Simultaneous Localization and Mapping (SLAM). It introduces the speaker, Dong-Won Shin, and his background and research in SLAM. The contents of the presentation are then outlined, including an introduction to SLAM, traditional SLAM approaches like Extended Kalman Filter SLAM and FastSLAM, efforts towards large-scale mapping like graph-based SLAM and loop closure detection, modern state-of-the-art systems like ORB SLAM, KinectFusion and Lidar SLAM, and applications of SLAM. Key algorithms in visual odometry, backend optimization, and loop closure detection are also summarized.
Global Positioning System (GPS) is the only system today able to show one’s own position on the earth any time in any weather, anywhere. This paper addresses this satellite based navigation system at length. The different segments of GPS viz. space segment, control segment, user segment are discussed. In addition, how this amazing system GPS works, is clearly described. The various errors that degrade the performance of GPS are also included. DIFFERENTIAL GPS, which is used to improve the accuracy of measurements, is also studied. The need, working and implementation of DGPS are discussed at length. Finally, the paper ends with advanced application of GPS.
This power point presentation summarizes the key components and functioning of a quadcopter drone. It describes the main parts which include four brushless motors, electronic speed controllers, a CC3D flight controller, Li-Po battery, power distribution board, and transmitter and receiver. The presentation discusses the advantages of quadcopters like stability, flexibility for indoor use, and ability to enter any environment without a pilot. Applications mentioned include use in agriculture, delivery services, military, videography, and civil purposes. Disadvantages include hardware complexity, short flight duration, and need for frequent battery replacement.
Spacecraft Guidance, Navigation and Control QuizVishesh Vatsal
?
The document outlines the rules and questions for a GNC (guidance, navigation, and control) quiz. It contains 3 rounds of questions: Round 1 has 13 general questions worth 2 points each, Round 2 has 8 anagram questions worth 1 point each, and Round 3 has 2 connect questions worth 4 points each. The questions cover topics related to spacecraft systems, missions, concepts in GNC, and specific events.
Depth estimation do we need to throw old things awayNAVER Engineering
?
??? ?? : Human visual system ??? CNN for depth estimation? CNN inspired by conventional methods
Case1: Cross-channel stereo matching
Case2: Depth from light field
Case3: Multiview stereo
Conclusion
We discuss how GPS and IMU work together in the context of capturing vehicle motion and a simple technique for creating a trajectory from a sample set of IMU data. After part 1 & 2 you will be able to generate a point cloud by fusing the IMU trajectory and the LiDAR data.
LiDAR is an active remote sensing technique that uses laser light to image objects. It was invented in the 1960s and became popular after being used on the Apollo 15 mission to map the moon's surface. LiDAR works by measuring the time it takes for a laser pulse to be reflected off an object and return, allowing it to create precise 3D models of surfaces and objects. It has numerous applications like terrain mapping, forestry, archaeology and more due to its speed, accuracy and ability to capture dense point cloud data without human involvement. While powerful lasers pose safety risks, LiDAR provides significant advantages over passive imaging and is an important remote sensing tool.
Design and Implementation of a Quadrotor HelicopterHicham Berkouk
?
This is a project on building a quadrotor from scratch. From the history; physics and modeling to system hardware and software. The control algorithm is built arround a PID loop. For more details, please feel free to comment or send me an email to: hicham.berkouk@outlook.com
The document outlines topics for a drone training in Nepal, including aerial mission planning, flight parameters, types of missions, mission planning for different terrain, ground control points, flight planning for 2D and 3D outputs, and executing an aerial image capture mission. It discusses concepts like overlap, ground sampling distance, flying height, and how elevation changes affect these. It also provides examples of different mission types and good/bad ground control point distribution.
This document summarizes the design, modeling, components, and control strategy of a quadcopter unmanned aerial vehicle. Key aspects include:
1) It uses four propellers powered by brushless DC motors for vertical take-off and landing, with yaw, roll, and pitch control achieved by varying motor speeds.
2) An IMU, microcontroller, and PID controllers provide attitude estimation and motor control.
3) A complementary filter fuses gyroscope and accelerometer data to estimate orientation with drift correction.
4) Wireless transmission of sensor data and live video enable remote control and monitoring of flight.
Reinforcement Learning 7. n-step BootstrappingSeung Jae Lee
?
A summary of Chapter 7: n-step Bootstrapping of the book 'Reinforcement Learning: An Introduction' by Sutton and Barto. You can find the full book in Professor Sutton's website: http://incompleteideas.net/book/the-book-2nd.html
Check my website for more slides of books and papers!
https://www.endtoend.ai
This document discusses different types of missiles and missile guidance systems. It provides details on surface-to-surface, undersea-to-surface, surface-to-air, air-to-surface, and air-to-air missiles. It also describes anti-tank, anti-ship, anti-aircraft, anti-satellite, and ballistic missiles. Additionally, the document outlines cruise missile characteristics and various guidance systems including line-of-sight, pursuit guidance, and their limitations.
Custom TTS using multi-speaker-tacotron(nanheekim)Nanhee Kim
?
@NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@Powersupply(YeungnamUniv.) @NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
Creating touch screen based loop station using rapsberry pi and qt(nanheekim)Nanhee Kim
?
@NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@Powersupply(YeungnamUniv.) @NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@Powersupply(YeungnamUniv.) @NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@Powersupply(YeungnamUniv.) @NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
Control led using relay module and transistor(nanheekim)Nanhee Kim
?
@Powersupply(YeungnamUniv.) @NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
Creating text to talk active image(nanheekim)Nanhee Kim
?
@NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
Transfer learning of model alexnet for image classification to matlab(nanheekim)Nanhee Kim
?
@NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@Powersupply(YeungnamUniv.) @NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com
@Powersupply(YeungnamUniv.) @NanheeKim @nh9k
??? ??? ???? ?????!
Please, feel free to contact me, if you have any questions!
github: https://github.com/nh9k
email: kimnanhee97@gmail.com