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AUTONOMOUS DRIVING IN AGRICULTURE LEADING TO AUTONOMOUS WORKSITE - PowerPoint PPT Presentation

AUTONOMOUS DRIVING IN AGRICULTURE LEADING TO AUTONOMOUS WORKSITE SOLUTIONS Dr. John F. Reid, John Deere Dr. John F. Reid Experience and Perspective on Autonomous Driving: Off-road PhD. Research in Automatic Guidance (1983-1986)


  1. AUTONOMOUS DRIVING IN AGRICULTURE LEADING TO AUTONOMOUS WORKSITE SOLUTIONS Dr. John F. Reid, John Deere

  2. Dr. John F. Reid …Experience and Perspective on Autonomous Driving: Off-road PhD. Research in Automatic Guidance (1983-1986) • Vision-based guidance of Tractors on row crops Professor at the University of Illinois (1986-2001) • Research in Autonomous Systems in Agriculture John Deere (2001-present) • Field Robotics competency leader • Developed and deployed autonomous systems business cases • Forward-looking innovation strategy (today)

  3. Autonomous Driving: Offroad 1.Past: 20 years of Automatic Guidance 2.Present: Machine Automation 3.Future: Paths to Autonomy 4. Summary SAE INTERNATIONAL

  4. Productivity in Agriculture Motorized Equipment Increased productivity through mechanization 1920’s SAE INTERNATIONAL

  5. Productivity in Agriculture Self-propelled Machines Increased productivity 1940’s through mechanization 1920’s SAE INTERNATIONAL

  6. Productivity in Agriculture Operator Environment 1970’s Increased productivity 1940’s through mechanization and operator comfort 1920’s SAE INTERNATIONAL

  7. Productivity in Agriculture Automated Agriculture 2000’s 1970’s Guidance was the 1940’s foundation automated agriculture enabled by the 1920’s convergence of machine electronics and GNSS SAE INTERNATIONAL

  8. Autonomous Driving in Agriculture Rapid Technology evolution: Increased precision and accuracy Customer Value realized in Machine and Job Productivity that could be consistently achieved. SAE INTERNATIONAL

  9. Automatic Guidance Clear Customer Value: • Reduce tillage and chemical application overlap • Skill-level reduction • Reduced operator fatigue • Improved productivity • Increased crop yield • Fuel efficiency Guidance was a Gamer Changer! SAE INTERNATIONAL

  10. Autonomous Driving: Offroad 1.Past: 20 years of Automatic Guidance 2.Present: Machine Automation 3.Future: Paths to Autonomy 4. Summary SAE INTERNATIONAL

  11. Productivity in Agriculture Integrated Solutions 2010’s 2000’s 1970’s Guidance has enabled 1940’s Machine and Job optimization 1920’s SAE INTERNATIONAL

  12. Machine Productivity Technology advances, access to information, and automation, enabling increased productivity and convenience. Realized Accomplishments: • Automation of machine functions • Coordination of machine-to-machine operations • Precision execution of field tasks SAE INTERNATIONAL

  13. Coordinated Tasks Machine path and task control iTech Pro: • A solution for Field Mission Planning • Enabled by SW for area coverage plans • Customer value: • Increases efficiency, resulting in input savings • Provides total equipment control • Reduces Operator Fatigue SAE INTERNATIONAL

  14. Coordinated Machines Machine-to-Machine work coordination • Machine Sync: • Combine steers the tractor for managing the unloading process • Enabled by GNSS and M2M communication • Customer value: • Increased timeliness and reduced stress in on-the-go unloading • Guidance line and coverage map sharing between machines for systems optimization SAE INTERNATIONAL

  15. Automatics Guidance leads to Optimized Machine Productivity Optimized Human- Machine Solutions Coordinated Machines Coordinated Self-Adjusting Tasks Machines Self- Calibrating Machines Machine State Sensing Machine Logistics Time Transformation towards Autonomous Human-Machine Productivity SAE INTERNATIONAL

  16. Autonomous Driving: Offroad 1.Past: 20 years of Automatic Guidance 2.Present: Machine Automation 3.Future: Pathways to Autonomy 4. Summary SAE INTERNATIONAL

  17. Exponential Technology Change Cloud Tablet Computing Bt Corn Impact GPS Netscape Browser Impact Impact Impact Automatic Networked Electrification Precision Ag Electro-hydraulics Telematics Guidance Controllers Today 1990 Technology advances are significantly reducing the barriers to autonomous solutions in Agriculture SAE INTERNATIONAL

  18. Productivity in Agriculture Information Agriculture 2020’s 2010’s 2000’s 1970’s Increased optimization 1940’s of the worksite through automation and data 1920’s SAE INTERNATIONAL

  19. Increasingly Integrated Solutions MACHINE LEVEL SOLUTIONS JOB LEVEL SOLUTIONS SYSTEM LEVEL IMPACTS SAE INTERNATIONAL

  20. Worksite Solutions Solutions to help manage equipment, people, and time more effectively. Realized Accomplishments: •Increased machine systems automation •Real-time optimization of worksite systems •Information management and decision support SAE INTERNATIONAL

  21. Two Pathways to Increasingly Integrated Solutions Autonomy- as-a Service Optimized Human- Machine Solutions Coordinated Tasks Coordinated Machines Self-Adjusting Machines Automated (lean) worksites Self- Calibrating Machines Sensor-Enabled Management Machine State Sensing Machine M2M Logistics Coordination Time SAE INTERNATIONAL

  22. Sensor-Enabled Management • Precision machines that provide site- specific control • Telematics that connects machines to Cloud for worksite management • UAS enables new forms of data to drive precision agriculture operations SAE INTERNATIONAL 22

  23. Task Optimization Optimizing Operator Performance in Machine Operation Performance Benchmarking: • Recommendations to optimize machine performance Customer-Value: • Helps maximize the performance of the machine for varying field/crop conditions SAE INTERNATIONAL

  24. Path and Mission Optimization Vehicle Mission Planning increases field efficiency and optimizes activities Mission Planning includes: • Path Planning • Vehicle Actions • Payload Actions • Contingency plans System Integration: • Pre-planned or Real- time SAE INTERNATIONAL

  25. Machine Perception Situation-Awareness provides solutions for the environmental influences Perception Sensing: • Augments/replaces human for situation awareness (e.g., obstacle detection) Customer Value: • Task automation • Autonomous operation SAE INTERNATIONAL

  26. Autonomous Orchard Management (2006) Customer Problem • Achieve asset optimization for field operations through autonomous systems integration • Increase Worksite Productivity Solution Concept • Multiple autonomous vehicle managed by a remote supervisor replace operators on individual machines SAE INTERNATIONAL

  27. Autonomous Orchard: Multi-vehicle mission Driven over 1500 km autonomously over 18 months customer trial SAE INTERNATIONAL

  28. Productivity Improvements • Multiple vehicles controlled Cummulative Percentile Speeds by single supervisor Autonomous Cumulative % Manual Cumulative % 100% Cummulative Percentile 80% • Shorter paths due to 60% optimal planner 40% 20% 0% 1 2 3 4 5 6 7 • Autonomous vehicle Speed Bin (km/h) spends greater portion of Productivity improvement (%) time at maximum speed 50 40 30 20 • Demonstrated productivity 10 improvement 0 Jan Mar Apr Jun Avg SAE INTERNATIONAL 28

  29. Autonomous Peat Moss Harvesting Solution Customer Problem • Core pain point is productivity driven by labor availability • Manage cost of operations through automation Solution Concept • Multiple sets of autonomous vehicle managed by a ground- based supervisor who manages the harvesting task of a fleet SAE INTERNATIONAL

  30. Autonomous Peat Moss Harvesting Solution SAE INTERNATIONAL Paper # (if applicable) 30

  31. Business Model Transformation Autonomous Solutions enables new products and services to emerge: From Productive Machines to Productive Worksite Solutions: • Autonomous machines vs. Delivering Job Optimization Services • High-productivity machine systems vs. Autonomy-as-a- service Autonomous Solutions transforms our perspective of agricultural systems productivity SAE INTERNATIONAL

  32. Autonomous Driving: Offroad 1.Past: 20 years of Automatic Guidance 2.Present: Machine Automation 3.Future: Pathways to Autonomy 4. Summary SAE INTERNATIONAL

  33. Summary • Autonomous Driving Success : Automatic Guidance Technologies have demonstrated success over the last 20 years in delivering customer value in agriculture. • Autonomous Machine Productivity : Automatic guidance has enabled continued growth in machine systems productivity. • Autonomous Worksite Solutions: The future of autonomous systems has multiple opportunities as integrated worksite solutions. • Business Model Innovation: Autonomy will create opportunities to transform the business model for off-road equipment. SAE INTERNATIONAL

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