AEB Presentation - Thatcham Motor Insurance Repair Research ...

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Accidentology gy Pedestrian scenario 2 22
Accidentology gy � Direct link between accident data and clusters – mathematical computation – objective and reproducible – representativeness clearly defined � Remarkable parallels in STATS 19 and OTS – pedestrian baseline and obscured scenarios – rear-end stationary and moving scenarios – estimate of representativeness � Innovative approach and fresh results 23
Page 1 and 2: AEB TTest t Development D l t Auton
Page 3 and 4: Agenda g � AEB TTest t GGroup �
Page 5 and 6: AEB Test Group Terms of reference
Page 7 and 8: AEB Test Group Phase 1 Project Part
Page 9 and 10: AEB Test Group Milestones & Publica
Page 11 and 12: Accidentology Study Introduction
Page 13 and 14: Accidentology gy Introduction � O
Page 15 and 16: Accidentology gy Methodology � Cl
Page 17 and 18: Accidentology gy Methodology � Di
Page 19 and 20: Accidentology gy OTS — Pedestrian
Page 21: Accidentology gy Pedestrian scenari
Page 25 and 26: Simulation Example: p AEB Car-to-Pe
Page 33 and 34: AEB Test Concepts p Car to Pedestri
Page 35 and 36: AEB Test Example p Car to Pedestria
Page 37 and 38: Test Target g and Propulsion p Car-
Page 39 and 40: Accidentology gy STATS 19 — Rear-
Page 41 and 42: Accidentology gy OTS — Rear-end c
Page 43 and 44: Accidentology gy Car-to-Car Rear Sc
Page 45 and 46: Simulation Example: p AEB Car-to-Ca
Page 51 and 52: AEB Test Concepts p Car-to-Car Rear
Page 53 and 54: Test Target g and Propulsion p Car-
Page 55 and 56: Test Target g and Propulsion p Car
Page 57 and 58: Car-to-Car Head-On � Accidentolog
Page 59 and 60: Accidentology gy OTS — Accident C
Page 61 and 62: Simulation Example: p Collision Car
Page 67 and 68: Agenda g � AEB Test T t Group G
Page 69 and 70: Agenda g � AEB Test T t Group G
Page 71 and 72: Conclusions � Test procedures dev

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