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This document summarizes an undergraduate final year project on developing an autonomous rover using simultaneous localization and mapping (SLAM). The project uses occupancy grid mapping and a particle filter for SLAM. The hardware includes a laser sensor, Arduino, Raspberry Pi, and other components. The SLAM algorithm represents maps as grids and uses position estimation and exploration. The particle filter localizes the rover by updating particle weights based on sensor data and map correlation. The project aims to enable autonomous navigation and environment surveillance.
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This document describes a simultaneous localization and mapping (SLAM) technique implemented in an automatic chair re-arrangement system. The system uses an overhead camera and image processing to track a chair's position and orientation. It determines the angle between the chair and its original location, represented by a red dot. The chair has a magnetometer to determine its heading relative to a defined north. The system calculates needed rotations and movements to maneuver the chair back to its original position when displaced. This demonstrates a SLAM solution to automate returning objects like chairs to their proper locations.
Self-Driving Cars With Convolutional Neural Networks (CNN.pptx
Self-driving cars aim to revolutionize car travel by making it safe and efficient. In this article, we outlined some of the key components such as LiDAR, RADAR, cameras, and most importantly – the algorithms that make self-driving cars possible.
Few things need to be taken care of:
The algorithms used are not yet optimal enough to perceive roads and lanes because some roads lack markings and other signs.
The optimal sensing modality for localization, mapping, and perception still lack accuracy and efficiency.
Vehicle-to-vehicle communication is still a dream, but work is being done in this area as well.
The field of human-machine interaction is not explored enough, with many open, unsolved problems.
Self-driving cars aim to revolutionize car travel by making it safe and efficient. In this article, we outlined some of the key components such as LiDAR, RADAR, cameras, and most importantly – the algorithms that make self-driving cars possible.
Few things need to be taken care of:
The algorithms used are not yet optimal enough to perceive roads and lanes because some roads lack markings and other signs.
The optimal sensing modality for localization, mapping, and perception still lack accuracy and efficiency.
Vehicle-to-vehicle communication is still a dream, but work is being done in this area as well.
The field of human-machine interaction is not explored enough, with many open, unsolved problems.
Q-learning is one of the most commonly used DRL algorithms for self-driving cars. It comes under the category of model-free learning. In model-free learning, the agent will try to approximate the optimal state-action pair. The policy still determines which action-value pairs or Q-value are visited and updated (see the equation below). The goal is to find optimal policy by interacting with the environment while modifying the same when the agent makes an error.
Bus Tracking Application in Android
“Bus Tracking Application” is an application for Smart phones that works on Android Operating system.
This application uses the GPS function.
This application at a specific pickup point will send the current location of the bus to students when they request.
This app generate predictions of bus arrivals at stops along the route.
This application uses a variety of technologies to track the locations of buses in real time.
impervious cover
The document describes a web-based tool for analyzing impervious surface cover from satellite imagery. It discusses (1) how impervious surfaces negatively impact the environment, (2) current methods for analyzing impervious cover including field work and remote sensing, and (3) the goals of automating impervious cover map production and creating a web application. It then details the automation process which includes preparing, classifying and analyzing pixel data to assign percent imperviousness values and produce cover maps. Finally, it outlines the web application infrastructure and demonstrates the tool.
NASA Developing the Virtual Privacy Risk Terrain for Autonomous Aerial Cargo ...
NASA
National Aeronautics and Space Administration
NASA Developing the Virtual Privacy Risk Terrain for
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University Leadership Initiative – Purdue University : Javid Mardanov, Don-Terry Veal Jr., Rahul Soneji, Dr. Karen Marais
By
Dr. Pankaj Dhussa
Final version.pptx
The document describes a project to develop a warehouse order picking robot using simultaneous localization and mapping (SLAM). A team of students at the University of Engineering and Technology, Lahore are working on the project under the guidance of Engr. Waqas Arshad and Dr. Muhammad Usman. The robot will use a Kinect sensor and laser scans to build a map of its environment and navigate to desired locations within the warehouse to pick orders. The students have completed the mechanical design, sensor integration, and simulation of the robot in Gazebo. Remaining tasks are to implement mapping, navigation, and demonstrate the full capabilities of the robot.
Deep Learning’s Application in Radar Signal Data
deep learning, radar, region proposal, SSD, one stage, two stage, Faster RCNN, ADAS, autonomous driving, Doppler, CNN, RNN, LSTM, FPN, SAR, CoordConv, focal loss, PointNet, Frustum Pointnets, RCS, CFAR, FusionNet
Historical milestones of autonomous driving research platforms
This slide introduces several prominent autonomous driving car projects in last couple of decades, mainly focusing on software architecture.
Don Talend Geospatial Technology-Miami Ohio Robot
Miami of Ohio University students use Topcon Positioning Systems technology to guide robotic lawnmower-snowplow for practicum course, by Don Talend, brand storytelling, content strategy and demand generation expert. Geospatial industry
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3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
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2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
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我们从事工作十余年的有着丰富经验的业务顾问，熟悉海外各国大学的学制及教育体系，并且以挂科生解决毕业材料不全问题为基础，为客户量身定制1对1方案，未能毕业的回国留学生成功搭建回国顺利发展所需的桥梁。我们一直努力以高品质的教育为起点，以诚信、专业、高效、创新作为一切的行动宗旨，始终把“诚信为主、质量为本、客户第一”作为我们全部工作的出发点和归宿点。同时为海内外留学生提供大学毕业证购买、补办成绩单及各类分数修改等服务；归国认证方面，提供《留信网入库》申请、《国外学历学位认证》申请以及真实学籍办理等服务，帮助众多莘莘学子实现了一个又一个梦想。
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你赢我赢，共创双赢
你做代理，可以帮助悉尼大学同学朋友
你做代理，可以拯救悉尼大学失足青年
你做代理，可以挽救悉尼大学一个个人才
你做代理，你将是别人人生悉尼大学的转折点
你做代理，可以改变自己，改变他人，给他人和自己一个机会过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了一天那一天父亲陪着山娃辗转长隆水上乐园疯了一整天水上漂流高空冲浪看大马戏大凡里面有的父亲都带着他去疯一把山娃算了算这一次足足花了老爸元很
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
学校原件一模一样【微信：741003700 】《(Vic毕业证书)惠灵顿维多利亚大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
原版定制【微信:bwp0011】《(umiami毕业证书)美国迈阿密大学毕业证文凭证书》【微信:bwp0011】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信bwp0011】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信bwp0011】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
HijackLoader Evolution: Interactive Process Hollowing
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
学校原件一模一样【微信：741003700 】《(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Should Repositories Participate in the Fediverse?
Presentation for OR2024 making the case that repositories could play a part in the "fediverse" of distributed social applications
Recently uploaded (12)
Securing BGP: Operational Strategies and Best Practices for Network Defenders...
Securing BGP: Operational Strategies and Best Practices for Network Defenders...
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...
HijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process Hollowing
Project presentation
- 1. Department of Electrical Engineering, University of Engineering and Technology, Lahore 2-D Simultaneous Localization and Mapping (SLAM) Based Autonomous Rover with Environment Surveillance Project Advisor: Mr. Arsalan Abdul-Rahim
- 2. Team Introduction Umer Arshad(Team Leader) 2014-EE-063 Specialization: Computer Ehtasham Saeed 2014-EE-067 Specialization: Computer Abdul-Rehman Fahim 2014-EE-089 Specialization: Power Musa Ahmed 2014-EE-090 Specialization: Power
- 3. Problem Statement SLAM is concerned with the problem of building a map of an unknown environment by a mobile robot while at the same time navigating the environment using the map. Localization and Mapping are dependent on each other so doing both simultaneously is a difficult task.
- 4. Proposed Solution Occupancy Grid Mapping and Particle Filter based Localization are used as a solution to the SLAM problem. A solution to the SLAM problem would help a robot in forming a complete map of the environment without any human assistance.
- 5. Block Diagram Laser Sensor Arduino Pro Mini Map Control Unit Environment Surveillance Raspberry Pi (Localization) Odometry Readings
- 7. Occupancy Grid Mapping • Representation of a map of the environment as an evenly spaced field of binary random variables each representing the presence of an obstacle at that location in the environment.
- 8. Occupancy Grid Mapping • Map of the surrounding environment is divided into grids having different weights based on occupied and free space.
- 9. Occupancy Grid Mapping There are four major components of occupancy grid mapping approach. They are: • Interpretation, • Integration, • Position estimation, and • Exploration
- 10. Particle Filter • A probabilistic state estimation technique. • Represents a distribution with a set of samples referred to as particles. • Particle is comprised of (pose, weight). Weight = Probability (Pose)
- 11. Particle Filter • The weights of the particles are updated based on Laser sensor data and its correlation with the Map. wi ’ = wi × correlation(ρi) • The particles with higher value are kept and the lower weighted particles are thrown out. • Particle Resampling is done in order to have more accurate position.
- 12. Simultaneous Localization and Mapping
- 13. Results: Undergraduate Final Year Project Presentation Dated: 4th April,2018
- 14. Results: Undergraduate Final Year Project Presentation Dated: 4th April,2018
- 15. Applications • Indoor Assistant Robots: Autonomous Vacuum Cleaners, Lawn Movers • Self-Driving Cars: Google Car • Augmented Reality: Tracking in unknown environment • Space: Terrain Mapping for Localization in e.g Mars Rover
- 16. Applications • Air: Surveillance with unmanned air vehicles • Underground: Exploration of Mines • Underwater: Reef Monitoring • Industry: Package delivery
- 18. Audience Simultaneous Localization and Mapping (SLAM) is a widely researched topic all around the world in the field of robotics. Our audience can be any of the following: • Robotics Industry • Automotive Industry • Security Department • Package Delivery
- 19. Gantt Chart 1-Sep-17 21-Oct-17 10-Dec-17 29-Jan-18 20-Mar-18 9-May-18 Hardware Interfacing Range Sensor and Odometery Sensors Wireless Communication SLAM Algorithm Theoretical Implementation Mapping with known position Localization of Rover Testing of SLAM Algorithm in various Environments Autonomous Movement Environment Surveillance GUI
- 20. References • Daniel Lee, Robotics Estimation and Learning, https://www.coursera.org/learn/robotics-learning, University of Pennsylvania, Last accessed on Sep, 2017. • Sebastian Thrun, Particle Filter in Robotics, Carnegie Mellon University, 2002. • CJ Taylor, Robotics Computational Motion Planning, https://www.coursera.org/learn/robotics-motion- planning, University of Pennsylvania, Last accessed on Jan, 2018.