Autonomous Turf Mowers

Slides:



Advertisements
Similar presentations
TECHNOLOGICAL INSTITUTE Center for Robot Technology.
Advertisements

Street Crossing Tracking from a moving platform Need to look left and right to find a safe time to cross Need to look ahead to drive to other side of road.
1 A Portable and Cost-effective Configuration of Strap-down INS/GPS for General-purpose Use * Masaru Naruoka (Univ. of Tokyo) Takeshi Tsuchiya (Univ. of.
Hilal Tayara ADVANCED INTELLIGENT ROBOTICS 1 Depth Camera Based Indoor Mobile Robot Localization and Navigation.
A vision-based system for grasping novel objects in cluttered environments Ashutosh Saxena, Lawson Wong, Morgan Quigley, Andrew Y. Ng 2007 Learning to.
Literature Review: Safe Landing Zone Identification Presented by Keith Sevcik.
Luis Mejias, Srikanth Saripalli, Pascual Campoy and Gaurav Sukhatme.
Exploring Beneath an Antarctic Ice Shelf with the Autosub3 AUV Stephen McPhail, Maaten Furlong, Miles Pebody, James Perrett, Peter Stevenson, Andy Webb,
TCSP – Patent Liability Analysis. Project Overview Overall Objectives Create an Unmanned Aerial Vehicle (UAV) which is capable of the following: Create.
A Cloud-Assisted Design for Autonomous Driving Swarun Kumar Shyamnath Gollakota and Dina Katabi.
Longin Jan Latecki Zygmunt Pizlo Yunfeng Li Temple UniversityPurdue University Project Members at Temple University: Yinfei Yang, Matt Munin, Kaif Brown,
Abstract This project focuses on realizing a series of operational improvements for WPI’s unmanned ground vehicle Prometheus with the end goal of a winning.
Sponsors Mechanical Improvements Software The software is written in C++ and Python using the Robot Operating System (ROS) framework. The ROS tool, rviz,
Autonomous Path Following By Andrey Zhdanov and Dan Feldman.
The goals of Micromouse: to build an autonomous “mouse” Mouse should be able to navigate and solve any given maze Mouse should be no bigger than 25.
A Self-Supervised Terrain Roughness Estimator for Off-Road Autonomous Driving David Stavens and Sebastian Thrun Stanford Artificial Intelligence Lab.
A Versatile and Safe Mobility Assistant * Kim, Min-Jung 2001/6/12 Special Topics in Robotics Design and Control of Devices for Human-Movement Assistance.
Navigation Systems for Lunar Landing Ian J. Gravseth Ball Aerospace and Technologies Corp. March 5 th, 2007 Ian J. Gravseth Ball Aerospace and Technologies.
Chapter 6 Color Image Processing Chapter 6 Color Image Processing.
Projectile Motion Review
SPIE'01CIRL-JHU1 Dynamic Composition of Tracking Primitives for Interactive Vision-Guided Navigation D. Burschka and G. Hager Computational Interaction.
UC Robot Team Team Goals Learn from doing Have fun while making friends International Intelligent Ground Vehicle Competition Eat Pizza!!
Introduction to the Principles of Aerial Photography
The University of Texas at Austin Vision-Based Pedestrian Detection for Driving Assistance Marco Perez.
Integrating Trust and Driver’s Safety By Robin Mitchell.
Louay Eldada CEO & Co-founder – Quanergy Systems, Inc.
Observer Scanner Training Navigational Assistance Section 4 by 1st Lt. Alan Fenter.
Scientific Systems 1 Scientific Systems Company, Inc Presentation at Meeting No. 96 Aerospace Control and Guidance Systems Committee Harbour Town Resorts.
Welcome to the Heritage Hazardous Waste Regulatory Review Course A Practical Approach to Compliance, from the Perspective of Our Customers.
Requires both communication and leadership to be successful.
ΜCHIP Micro-Controlled High-tech Independent Putter.
Prime Mobility Group Group Members: Fredrick Baggett William Crick Sean Maxon Advisor: Dr. Elliot Moore.
Need for (More) Speed. Of course not every object is going to travel the same VELOCITY all the time.
Projectiles o A golf ball is hit with a speed of 50ms -1 at an elevation of 40 o along a level course.
My Own World Of Technology. Autonomous Car Autonomous car, driverless car, self-driving car or robot car is a vehicle that is capable of driving itself.
GM-Carnegie Mellon Autonomous Driving CRL 1 TitleRobust Detection of Curbs Thrust AreaPerception Project LeadDavid Wettergreen, CMU Wende Zhang, GM Inna.
Mobile Node for Wireless Sensor Network to Detect Landmines Presented by : Jameela Hassan.
Scarab Autonomous Traverse Carnegie Mellon December 2007 David Wettergreen.
3D Perception and Environment Map Generation for Humanoid Robot Navigation A DISCUSSION OF: -BY ANGELA FILLEY.
Instantaneous Geo-location of Multiple Targets from Monocular Airborne Video.
Different types of grass
UC Robot Team 2009.
Week Thirteen Light Detection and Ranging (LIDAR)
The challenges of automated and connected driving
Najib METNI François DERKX Jean-Luc SORIN
QUADRATIC WORD PROBLEMS
A function F is the antiderivative of f if
Case Study Autonomous Cars 9/21/2018.
Essential Questions Why is accurate weather data important?
Application Solution: 3D Inspection Automation with SA
Kinematics.
Paper Presentation Aryeh Zapinsky
Find the velocity of a particle with the given position function
Section 6.1 Slope Fields.
Chapter 10 Image Segmentation.
Forces Reflection Draw an illustration of one of the following situations. Once you have drawn your illustration, identify where friction, gravity, and.
Vertical Motion Problems
Patent Liability Analysis
CSE 321 – Object Detection & Tracking
Exploring Beneath an Antarctic Ice Shelf with the Autosub3 AUV
Find the velocity of a particle with the given position function
Kinematics.
Case Study Autonomous Cars 1/14/2019.
Google Self Driving Car
Color Image Processing
HERO UNIT Training Module
Computer Services Business challenge
GPS Navigation System ET Spring 2018
LOCOMOTION Farahnaz AttarHamidi Samaneh Mahmoudi Mehraneh NezamiRad.
Week 3: Moving Target Detection Using Infrared Sensors
Presentation transcript:

Autonomous Turf Mowers Travis McMahan

Achieving Automation Reliable obstacle detection Must be able to find obstacles as small as a golf ball, while not generating false positives Must detect obstacles to keep the vehicle safe (bunkers, ponds, cliffs) Operate with cm level precision to create the stripe patterns seen on elite golf courses Must be able to create patterns that cover the entire fairway in an efficient manner

Toro Triplex

Avoiding Obstacles INS/GPS systems Inertial sensors measure velocities and accelerations 3-D cloud image POS-LV system Sick laser scanner provides obstacle detection and mapping

color segmentation, distinguishes obstacles based on color stereo based homography to detect objects which lie above the ground plane color segmentation, distinguishes obstacles based on color backup detection system

Sidewinder

Night Trial http://www.rec.ri.cmu.edu/projects/toro/videos/index.htm

Benefits reduction in reliance on skilled operators, less training, and reduces expanded hours of golf course availability.