Driver Augmentation and Autonomous Navigation System Sponsored by EDSGN 100, Section 007 Group Members: Ryan Bradley, Matt Quigley, Mike Renard, Dan Bitner,

Slides:



Advertisements
Similar presentations
Technology Solutions. There are a variety of technologies—old and new—that have been developed to warn drivers and operators when workers on foot are.
Advertisements

Presented by: Team NightStriker Course: EDSGN Section: 006.
The Company ViaTech is a Norwegian Company with a comprehensive range of tailor-made products and services aimed at road, rail and airport authorities.
The necessity of New Regulations for New Technologies regarding R79 Japan September / 2012 Informal document GRRF (73rd GRRF, September 2012,
Collision Mitigation break system (CMS) What is CMS? How it works System Configuration Warning Devices Collision Avoidance Maneuvers Conclusions.
SIGHT DISTANCE Spring 2015.
During the design specification phase, an alternative design matrix was made and evaluated based on the following parameters: number of bumpers, shape.
Adaptive Cruise Control System ENGR 340 February 26, 2007.
Team 3 Adaptive Cruise Control Project Goal Our goal is to provide an after market product that will prevent unnecessary braking while using cruise control.
October 21, 2003 ECE Senior Design1 Autonomous GPS-BOT Preliminary Design Review by Kery Hardwick, Yevgeniy Khasanov, Naoya Kinuta, Zhe Chuan Luo.
Lukas Christensen. RoboSAR Hardware Novelda Impulse Radar used to detect movement with high range resolution Novelda Impulse Radar used to detect movement.
Data Acquisition Real-Time System Integration Preston Schipper Matt Hulse Adrienne Baile DARSI II.
Intelligent Vehicles and Systems Group The Pennsylvania State University 1/9 EDSGN 100 EDSGN 100 Autonomous System Navigation and Driver Augmentation Pramod.
Abstract Design Considerations and Future Plans In this project we focus on integrating sensors into a small electrical vehicle to enable it to navigate.
Looking for a more powerful circuit monitor?
“The cure for the common convoy.” Jon Howard, Stephen Kerschner, Austen Haines, Collin Goodruff.
Autonomous Surface Navigation Platform Michael Baxter Angel Berrocal Brandon Groff.
By the end of this chapter, you should:  Understand the properties of an engineering requirement and know how to develop well-formed requirements that.
Abstract A software development life cycle can be divided into requirements elicitation, specification, design, implementation, testing, and maintenance.
May Team Information Client Department of Electrical and Computer Engineering, Iowa State University Faculty Advisor Professor Gary Tuttle Team Members.
Sensors Cassandra, Gayathri, Rohan, Patrick. -Many distractions while driving -Want to dramatically reduce accidents that occur -Try to figure out ways.
Safety All The Time Oyuki Ogawa Executive Vice President DENSO CORPORATION.
1. This seminar paper is based upon the project work being carried out by the collaboration of Delphi- Delco Electronics (DDE) and General Motors Corporation.It.
Ruslan Masinjila Aida Militaru.  Nature of the Problem  Our Solution: The Roaming Security Robot  Functionalities  General System View  System Design.
1 Consideration of Issues Japan Presentation Informal document No. GRRF-S08-13 Special GRRF brainstorming session 9 December 2008 Agenda item 5.
WELCOME TO ALL PACE INSTITUTIONS and INTEGRATORS.
Damage Mitigation Braking System
The Need Specification. References  Adapted from:  Design for Electrical and Computer Engineers, first edition, by Ralph M. Ford and Chris S. Coulston.
Chapter 6 Adaptive Cruise Control (ACC)
GPS Tracking System An autonomous user tracking system is employed to navigate the vehicle using GPS data. The following diagram demonstrates the tracking.
Abstract The Infrarat is an autonomous toy car that will use proximity sensors and a pivoting array of Infrared sensors for tracking a body and to avoid.
ARM BASED SMART HELMET USING XBee WITH ALCOHOL DETECTION
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
International Journal of Control and Automation Vol. 2, No. 1, March, 2009 Fabrication of Auto-Braking System for Pre-Crash Safety Using Sensor Eung Soo.
1 SOARS Matt Edwards Arseny Dolgov John Shelton Johnny Jannetto Galina Dvorkina Nick Driver Eric Kohut Kevin Eberhart Self Organizing Aerial Reconnaissance.
Protective Braking for ACSF Informal Document: ACSF
CONTENTS: 1.Abstract. 2.Objective. 3.Block diagram. 4.Methodology. 5.Advantages and Disadvantages. 6.Applications. 7.Conclusion.
Final Presentation Prime Mobility Group Group Members: Fredrick Baggett William Crick Sean Maxon Project Advisor: Dr. Elliot Moore.
Student’s Name with USN No.
Student’s Name with USN No.
1 of 175 Focus 3D X 130 and X 330 Laser Scanners SCENE 5.3 September 2014.
Team America Team 8 Ben Klein, Mike Sharkness, Bobby Jevin, Jon Takosky.
השוואת תנאי עבודת עתקים ודרישות בטיחות נעשתה בהתאם לדו"ח מבקר 3/13. ISRAEL RAIL COMPANY General Overview Udi Kaplansky (MSc. Safety Engineering) VP Safety,
CRUISE CONTROL DEVICES Presented by Anju.J.S. CRUISE CONTROL DEVICES.
INSTRUMENT CONTROLLED MICROSCOPY Mason Jellings, Justin Gearing, Sarah Reichert, John Byce Client: Dr. Joshua Medow Advisor: Professor Thomas Yen Introduction.
Auto-Park for Social Robots By Team I. Meet the Team Alessandro Pinto ▫ UTRC, Sponsor Dorothy Kirlew ▫ Scrum Master, Software Mohak Bhardwaj ▫ Vision.
Lecture 10: Traffic alert and Collision Avoidance System (TCAS)
Lecture 10: Traffic alert and Collision Avoidance System (TCAS)
VEMANA INSTITUTE OF TECHNOLOGY,BANGALORE
Danger Zone Detection Beyond the Mirrors Presenter: Dave McDonald
- Usable range of 0 to 6 feet. - Find dark or bright areas.
ADVANCED DRIVER ASSISTANCE SYSTEMS
ANTI-COLLISON AND BRAKING SYSTEM
PRESENTED BY:BHABESH RANJAN MAHAKUD
PRESENTED BY: SHAHIN HUSSAN
Autonomous CAR.
Informal Document: ACSF Rev.1
ADAPTIVE CRUISE CONTROL
© 2016 Global Market Insights, Inc. USA. All Rights Reserved Solid State Automotive LiDAR Industry analysis research and trends report.
(1888 PressRelease) Data Control Technitic – Close To HD Video LiDAR Offering
RADAR -Range and Bearing Discrimination and Accuracy.
John Lenkeit, Terry Smith
TUGS Jason Higuchi && Julia Yefimenko && Raudel mayorga
Student’s Name with USN No.
Industry Homework from AEB 02
Autonomous Obstacle Detection System
Smart Zone Sensing With Auto Breaking System Using ARM
AEB IWG 02 ISO Standard: FVCMS
SIGHT DISTANCE Spring 2019.
Presentation transcript:

Driver Augmentation and Autonomous Navigation System Sponsored by EDSGN 100, Section 007 Group Members: Ryan Bradley, Matt Quigley, Mike Renard, Dan Bitner, Brandon Lehr Problem Definition Needs Both military and civilian drivers require proactive, not just reactive, safety systems in order to minimize the human and economic costs of vehicle accidents. The Problem Modern safety systems are primarily reactive; they are designed to protect the vehicle’s occupants during an accident. While generally effective, these systems do not prevent accidents. Therefore, the driver’s problem (specifically a HMMWV driver/commander pair) is that he is unable to detect fixed or moving obstacles in dark or difficult weather conditions while maintaining a convoy formation moving at a high speed. Mission Our mission is to develop and design a product which detects and helps drivers avoid obstacles during convoy operations, while maintaining a formation among several vehicles. We will deliver a detailed design for such a product which is economically feasible, easy to implement, and increases the safety and efficacy of convoys operating in dangerous territory. This system may also be applied to civilian markets with small modifications. Abstract This autonomous navigation device design will expand upon modern automotive navigation technology in order to preemptively protect the vehicle. The system will sense stationary objects in the forward direction with high resolution, as well as moving objects in all directions. This two-stage sensor system prioritizes threats according to distance and displays the direction and distance for the HMMWV commander (the passenger) via a durable LCD screen. This system has been designed to provide early detection of craters, incoming vehicles, and obstacles with high specificity and maximum usability. Methodology Sensor Criteria We used certain criteria to decide upon which sensors would be most efficient and applicable in our system: Maximum effective range Degree of angular resolution Cost of each sensor unit The optimal system uses scanning mid range radar as well as two IR cameras. This two tier system will: Detect small craters and obstacles in the forward-direction. Detect moving objects in all directions, in 6 Directions. Sensor Requirements According to a base-case scenario provided by BAE, this system must avoid a 1×2 meter crater. The following diagram shows the minimum avoidance path with generous assumptions. The authors have taken this minimum 6 meter detection distance and added buffers for reaction time. Minimum detection distance is therefore: 30 meters. Design Objectives NameSpecification SpeedsUp to 70 km/hr Minimum Detectable Crater Depth15 cm Minimum Detectable Crater Width/Length 30 cm Device Mounting PositionRoof-Mounted Moving Object DetectionIncluded Field-of-Vision360° Vertical-View60° Forward-RangeAccurate up to 50m Operating Conditions Precipitation, Sand, Temperatures to 150°F and down to –10°F VisibilityDarkness Automatic braking Device warns the driver, and takes action if necessary. Convoy Spacing5m – 200m Size Fits on HMMWV roof, < 30 cm height Results Figure: Rendering of a HMMWV with mounted sensors. The sensors will be packaged in durable, plastic enclosures which are designed for easy installation. They are placed on the HMMWV roof for maximum visibility of threats. Display Parameters The display is based on the basic army mantra: “Distance and Direction” Maximum usability with a simple, abstract display. Prioritization of threats based on Smallest Proximity. Moving Targets will Blink; stationary targets are solid. Figure: Rendering of the display screen.