Overview of Project APCA1 Software Engineering CSE435 Michigan State University Fall 2014 Team members: Project Manager: Eric Drews Facilitator: Daniel.

Slides:



Advertisements
Similar presentations
Safe System Approach Eric Howard.
Advertisements

Car on an exit ramp a classic rotational motion & friction problem Rhine.
School of Systems, Engineering, University of Reading rkala.99k.org April, 2013 Motion Planning for Multiple Autonomous Vehicles Rahul Kala Lateral Potentials.
Decision Making and control for automotive safety Mohammad Ali.
Collision Mitigation break system (CMS) What is CMS? How it works System Configuration Warning Devices Collision Avoidance Maneuvers Conclusions.
The Auto Crash Case Study #3 The Egg Mobile “Ted and Angelina’s Eggsellent Adventure” Northern Highlands Regional High School Applied Technology Department.
APTA Risk Management Seminar June 12, MITIGATING PEDESTRIAN COLLISIONS: USING VIDEO TECHNOLOGY TO PREVENT INITIAL OCCURRENCES KIM GAFFEY SYSTEM.
Background  Leading the market in car safety for 80 years  Have created features such as;  Three point seat belt  Rear facing child seats  Side impact.
Emergency Braking Notification System Applying technology of wireless sensor networks to automobiles.
Project Squeaky Wheel Team Autobots Customer Continental Automotive David Agnew, Jeremy McClain Fall 2011.
Overview of MultipleInput Power Steering Software Engineering CSE 435 Michigan State University Fall 2014 Team members: Project Manager: Gregory Andrew.
Overview of Anti-lock Brake System Jonathan Brown ABS 2 Fall 2001.
TEAM TERABYTE Onboard Diagnostics System. TEAM MEMBERS Yuanchun Zhao Project Facilitator Jon Rietveld Project Manager Kyle Bartush Artifacts Manager Brandon.
Nissan’s “Around View Monitor” Jael Francisco
Overview of Project Lydia Eatmon ACC2 Fall Project Adaptive Cruise Control Diver aid, part cruise control, part collision avoidance Motivation for.
Project Name Group Name: Customer: Name of Customer Project Manager: Student Name1 Project Facilitator: Student Name1 Customer Liaison/Domain Expert:Student.
Metrics-Based Analysis of UML Designs Department of Computer Science & Engineering Ryan Stephenson Advisor: Prof. Betty H.C. Cheng Software Engineering.
Overview of Team Ford: Active Park Assist Software Engineering - CSE435 Michigan State University Fall 2014 Team members: Project Manager: Joe Reeder Facilitator:
Department of Computer Science & Engineering College of Engineering Dr. Betty H.C. Cheng, Laura A. Campbell, Sascha Konrad The demand for distributed real-time.
Software Engineering CSE470: Cheng and McUmber Software Engineering CSE470 (Fall 2001) Instructors: Dr. B. Cheng (Sect. 1-3) Dr. W. McUmber (Sect. 4-6)
TRAINING TOOLS WORKING TOGETHER SKIDCAR and SIMULATORS USING AVAILABLE TOOLS TO MAKE BETTER DRIVERS.
Behavior Based Robotics: A Wall Following Behavior Arun Mahendra - Dept. of Math, Physics & Engineering, Tarleton State University Mentor: Dr. Mircea Agapie.
Safety All The Time Oyuki Ogawa Executive Vice President DENSO CORPORATION.
Do Now for 5/20/13 Take out E84 Report HW: Quiz on E81 through 84 tomorrow. E83#6 due tomorrow.
Finish Activity 73 ► Follow procedure steps 3-7 ► Discuss in your groups and answer analysis questions 3-5.
STOPPING DISTANCES REACTION TIME = time for a driver to react Meanwhile the car covers a “ THINKING DISTANCE” OVERALL STOPPING DISTANCE = THINKING DISTANCE.
Team GReEN members: Project Manager: Garret Smith Facilitator: Eric Austin Customer Liaison: Nikhil Andrews Artifacts Manager: Rebecca Collins Overview.
PRIVATE/PROPRIETARY Integrated Safety & Drowsy Drivers 2007 Wake Up, Michigan! September 20 th 2007 The Worldwide leader in Automotive Safety Systems Autoliv.
1 Consideration of Issues Japan Presentation Informal document No. GRRF-S08-13 Special GRRF brainstorming session 9 December 2008 Agenda item 5.
Drive Right Chapter 7 Negotiating Intersections Unit 4
WELCOME TO ALL PACE INSTITUTIONS and INTEGRATORS.
Software Project Management
Process Improvement. Improving the Test Process In the Software V&V course, Prof. Uwe asked the question: How to improve the Testing Process?
Limited Access Highways Driver Risk Prevention Curriculum State of New Hampshire Departments of Education and Safety Division of Program Support State.
Integrating Trust and Driver’s Safety By Robin Mitchell.
Chapter 6 Adaptive Cruise Control (ACC)
Expressway Driving Entering, lane changing, and exiting.
Virginia Department of Education
Intersections.
School of Systems, Engineering, University of Reading rkala.99k.org April, 2013 Motion Planning for Multiple Autonomous Vehicles Rahul Kala Congestion.
1 Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions review of some research literature referred to in the ITS guidelines.
B1.7a Using formulas to calculate displacement Chapter B1.
Vehicle Balance, Traction Loss, Roadway and Vehicle Technology Driver Education.
Module 5 Terena Wibecka Lauren Megan Block 1X. Processing Information 1.A driver needs visibility, space, and time to safely operate a vehicle. 2.A vehicle.
Overview of Project ADS Software Engineering CSE435 Michigan State University Fall 2013 Team members: Project Manager: Alec Dutch Facilitator: Duncan Young.
Sample Workbook for Crash Avoidance Technologies Focus Groups.
Intersections.
Team members: Project Manager: Keyur Patel Facilitator: Tony Cooke Customer Liason: Ben Blaut Configuration Manager: Luan Tran Customer: Mr. Anthony Torre,
Overview of Project CACC1 Software Engineering CSE435 Michigan State University Fall 2013 Team members: Project Manager: Kathy Cummings Facilitator: Phil.
1 6th ACSF meeting Tokyo, April 2016 Requirements for “Sensor view” & Environment monitoring version 1.0 Transmitted by the Experts of OICA and CLEPA.
Federal Aviation Administration Runway Safety For Corporate Pilot’s Corporate Seminar August 8, 2009 Back to Basics For Runway Safety.
2 Overhead & channel use for multiple messages. Unused elements in common message set. Security? A new message for each new application? Where to change.
Unit 5 VEHICLE HANDLING SAFE VEHICLE CONTROL
Orientation to Controls Moving Stopping & Steering Smoothly
Team members: Project Manager: Alex Crimin Facilitator: Chengzhu Jin
Northern Highlands Regional High School Applied Technology Department
Team members: Project Manager: Facilitator: Customer Liason:
denote Project Managers explicitly
lesson 10.1 SEARCHING INTERSECTIONS
Speed can be calculated by Speed = Distance/Time
Team Members: Member1, … Spring 2013
Overview of Project Active Parking Assist 1
Chapter 1 Introduction.
2018 Summit of the National Association of State Motorcycle Safety
VEHICLE TECHNOLOGY BRAKE SYSTEMS.
Safety Assessment of Automated Vehicles
AEB IWG 02 ISO Standard: FVCMS
Overview of Lane Management 2 Software Engineering CSE435 Michigan State University Fall 2016.
AEB Pedestrian and Cyclist - minimum velocities Sensor opening angles
©2018 Graphical Research. All rights reserved. Europe Automotive Camera Market to witness gains upto $5bn by 2025: Graphical.
Presentation transcript:

Overview of Project APCA1 Software Engineering CSE435 Michigan State University Fall 2014 Team members: Project Manager: Eric Drews Facilitator: Daniel Roman Customer Liason: Kevin Karabon Configuration Manager: Ruoqing Chen Safety Engineering: Samantha Bentzel Customer: Continental Automotive Instructor: Dr. Betty H.C. Cheng* *Please direct all inquiries to the instructor.

Automated Pedestrian Collision Avoidance System Priority 1: Avoid collision with pedestrian Priority 2: Minimize lost time Motivation for project ◦Human drivers can lose focus ◦Reaction time may be too slow ◦Improve safety for both drivers and pedestrians

Overview of Features Stereo camera senses pedestrian Collision avoidance algorithm determines possible hazard Brake-by-wire (BBW) system decelerates vehicle Accelerate to return to previous speed

Domain Research Many manufacturers have similar systems Toyota, Volvo, Fiat Various techniques to minimize pedestrian collision and/or injury APCA unique in minimizing lost time Project Constraints ◦All collisions must be avoided regardless of lost time ◦Algorithm assumes pedestrian is moving at 90 degree angle to the vehicle ◦Braking can only occur with a maximum force of 0.7g

Use Case Diagram

6 Part III: Demonstration

7 Scenario #1 Pedestrian is static in front of the vehicle

8 Scenario #2 Pedestrian enters vehicle’s path, then exits

9 Scenario #3 Pedestrian static in vehicle’s path, waits before moving

Acknowledgements We gratefully acknowledge and appreciate the participation of our customer, David Agnew from Continental Automotive