augmented reality on the road v7
TRANSCRIPT
© Marianne Lindsell 2014. All rights reserved. Slide 1
Throwing Markers Outside the Car
Disclaimer:Information in these slides is representative of the True3D technology of Making Virtual Solid, LLC. There remains some flexibility in actual design to meet the requirements of individual clients. These slides also incorporate the research and opinions of the author at the time of writing. The author takes no responsibility for the accuracy or use of the information contained here.
Marianne Lindsell
Advisor to Making Virtual Solid, LLC
© Marianne Lindsell 2014. All rights reserved. Slide 217:54
1. My Background and approach to AR
2. The True3DTM HUD from Making Virtual Solid, LLC
3. Using it to improve Situational Awareness
4. A Model for Task-focussed AR?
© Marianne Lindsell 2014. All rights reserved. Slide 317:54
Avatar-mediated Comms
Facial Recognition
Marker Triggered Visualise a
volumeRemote Skilling
Object / Image
Triggered
3D Maintenance Overlay
Earlier Structure
Future StructureVirtual Surroundingsfor the Airborne Camera Straw
See-through solid objects, e.g. walls (camera view or graphics
based on known data)
See against Bright LightSwap Senses
Show PulseSkin Circulation
Add Heat MapRemove Patterns Mark in
Space
Visualise
EnhanceContext
Work with
Faces
Enhance Senses
Guidance & Navigation
Markers & Tracking
Places
Things
People
Lines, Areas, Volumes
© Marianne Lindsell 2014. All rights reserved. Slide 417:54
Visuo-spatial sketch pad
Phonological Loop
Central executive
Experimentsshow peoplecan recall 4 or 5items immediatelybut recall rate dropsvery quickly after a few seconds
Like a continuous
audio tape of 2 seconds
Assumed to be thesystem that
handlesattention
Based on:Alan D. Baddeley, Essentials of Human Memory, Psychology Press 1999
© Marianne Lindsell 2014. All rights reserved. Slide 517:54
• Allow a clear view and not ‘get in the way’• Enhance surroundings rather than FoV• i.e. Conformal Representation
(as per NASA Ames/SJSU taxiing studies with untrained crew)
• Remove enhancements when no longer needed
© Marianne Lindsell 2014. All rights reserved. Slide 617:54
Many planar cross-sections of a 3D volume are projected onto a spinning diffuser in this Perspecta volumetric 3D display. In this example it creates a volume-filling image of a scan for brain cancer.
© Marianne Lindsell 2014. All rights reserved. Slide 717:54
18 degrees
20 degrees
© Marianne Lindsell 2014. All rights reserved. Slide 817:55
NOTE: Objects not drawn to scale
1. Sun filter2. Eye lens group3. Folding mirror(s)4. Relay lens group5. Projection screen5. Path of laser spot6. Projection screen actuator7. Laser beam8. Scanner9. Beam focuser and profiler10. Laser11. Circuit board12. RGB raster projector
a.
© Marianne Lindsell 2014. All rights reserved. Slide 917:55
Installation volume is around 7 litres, with
much flexibilityin the shape
Power consumption in region of 20W, increasing
or decreasing according to requirement and usage
© Marianne Lindsell 2014. All rights reserved. Slide 1017:55
But navigation is not top priority (for automotive OEMS):
1) ADAS (Advanced Driver Assistance Systems) – mainly safety
2) Navigation
3) Heads Up Vehicle Management (e.g. Controls, Aircon, Entertainment)
MVS won European Satellite Navigation Competition 2011
The Virtual CableTM is shown 8 deg above path being tracked, as per NASA Ames/SJSU studies
© Marianne Lindsell 2014. All rights reserved. Slide 1117:55
Looked-But-Failed-To-See Crashes
collisions in which a driver fails to detect another road user or object
despite looking at it
Why do LBFTS crashes occur?
Inattentional Blindness & Change Blindness
Third most frequently occurring driver error(Brown, 2005; Treat, 1980; White & Caird, 2010)
The failure to see highly visible objects we may be looking at directly when our attention is elsewhere.
(Mack & Rock, 1998)
(AKA cognitive tunnelling, cognitive capture,channelised attention)
After - Does Familiarity breed inattention? Why drivers crash on the roads they know bestSamuel G. Charlton, Traffic & Road Safety Research Group, Waikato University
© Marianne Lindsell 2014. All rights reserved. Slide 1217:55Images, Car and Driver magazine
© Marianne Lindsell 2014. All rights reserved. Slide 1317:55
Situational Awareness is quite important
1. Perceive items around youe.g. spotting a road sign
2. Comprehend their meaningi.e. understanding it is a warning, e.g. child symbol outside a school -so I can expect children crossing
3. Project their status into near futuree.g. I’m driving at 40 mph, so I’d better slow down in case a child runs out in front of me
Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human Factors, 37(1), 32-64.Endsley, M. R. (1995). Measurement of situation awareness in dynamic systems. Human Factors, 37(1), 65-84.
*Mica Endsley’s 3 levels of Situational Awareness:* Mica Endsley is presently Chief Scientist of the U.S. Air Force
© Marianne Lindsell 2014. All rights reserved. Slide 1417:55
Already some OEMs are simulating warnings of shunt riskAs we realise V2V comms, could we show likely paths of other vehicles?
• Joining from a hidden entrance?• Cutting across lanes near us?• Approaching us at junctions?
Surprisingly, visual AR compares favourably with LIDAR and Radar
A clever scheme for Level 2 SA
Mark traffic features for Level 1 SA
Perceive items around you
Comprehend their meaning
Project status into near future
Show play-out markers for Level 3 SA
Traffic Vectors?
© Marianne Lindsell 2014. All rights reserved. Slide 1517:55
Embedded Mobile
• Compact• Available (e.g. driver’s
cellphone, with potential to restrict distracting SMS)
• High processing power• Extensive storage• Updateable online
• Distributed – allowing for preprocessors (e.g. camera DSPs)
• Deterministic RTOS• More reliable for ADAS
• QNX• Automotive Linux• Mentor Nucleus
But only for infotainment (IVI) and navigation
• Android Auto• Apple CarPlay• Mirrorlink• GENIVI®
© Marianne Lindsell 2014. All rights reserved. Slide 1617:55
Faster React to unexpected
More AccurateInterpret response in keeping withsocial principles
More ReliableRespond better to other humans
Condenses know-how ofmany humans
Will still be driving for a long time
Embedded ADAS tending toward autonomous controle.g. auto-brake
But once control ripped from driver, difficult to return itUnless driver SA can be sustained
Can AR help the driver stay aware of the automation?
Automation Human Driver
© Marianne Lindsell 2014. All rights reserved. Slide 1717:55
• A sort of early HUD
• AR was originally a work horse
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The WWII Reflector Sight
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Fighter HUD <> Car HUD <> Smart/AR Glasses
But there is arguably a common thread:
• Minimise clutter & obstruction
• Maximise situational awareness
Moi?
© Marianne Lindsell 2014. All rights reserved. Slide 18
© Marianne Lindsell 2014. All rights reserved. Slide 19
© Marianne Lindsell 2014. All rights reserved. Slide 2017:55
© Marianne Lindsell 2014. All rights reserved. Slide 2117:55
AR Aerial Video Context Mapping System
The Churchill Augmented Reality mappingsystem, ARS, overlays street and otherinformation directly over live sensor videofrom aircraft-mounted gyro-stabilizedcameras such as the FLIR Star Safire and L-3 Wescam MX series gimbals. MGRS gridlines, radar targets and much more canalso be turned on or off at will --eliminating the need to take eyes off thetarget, and radically enhancing the abilityof sensor operators to quickly andaccurately direct ground assets to wherethey are needed. Get the most out of yourturret by interfacing it to an ARS system foran immediate improvement in utility andaccuracy.
Note registration between sensor video and VR map surround