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Motion Planning for Multiple Autonomous Vehicles

Motion Planning for Multiple Autonomous Vehicles. Results. Rahul Kala. Genetic Algorithms. Results. Vehicle position at the time of blockage. Blockage. Results - 2 vehicle. b. Results - Overtaking. Results – Vehicle Following. Rapidly-exploring Random Trees. Results – Single Vehicle.

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Motion Planning for Multiple Autonomous Vehicles

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  1. Motion Planning for Multiple Autonomous Vehicles Results Rahul Kala

  2. Genetic Algorithms

  3. Results Vehicle position at the time of blockage Blockage

  4. Results - 2 vehicle b

  5. Results - Overtaking

  6. Results – Vehicle Following

  7. Rapidly-exploring Random Trees

  8. Results – Single Vehicle

  9. Results – Multi Vehicle

  10. Results – Multi vehicle

  11. Rapidly-exploring Random Trees Connect

  12. Results – Single Vehicle

  13. Results - Multi Vehicles

  14. Results – Multi Vehicle

  15. Results – Vehicle Avoidance

  16. Results – Vehicle Avoidance

  17. Multi Level Planning

  18. Results

  19. Results – Single Vehicle

  20. Results – Two Vehicles

  21. Results – Two Vehicles

  22. Results - Multi Vehicle

  23. Results - Overtaking

  24. Results – Vehicle Following

  25. Dynamic Distributed Lanes

  26. Results

  27. Results

  28. Results

  29. Results

  30. Results

  31. Fuzzy Logic

  32. Results – Single Vehicle

  33. Results – Vehicle Avoidance

  34. Results – Multi Vehicle

  35. Results – Multi Vehicle

  36. Results - Crossing

  37. Lateral Potentials

  38. Results

  39. Elastic Strip

  40. Results

  41. Results

  42. Logic Based Planning

  43. Results

  44. Results

  45. Results

  46. Results Unequal aggression factors Equal aggression factors

  47. Results – Aggression Higher aggressive vehicle makes it to the end

  48. Results – Single Lane Overtake

  49. Thank You • Acknowledgements: • Commonwealth Scholarship Commission in the United Kingdom • British Council

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