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All-weather vision for automotive safety: which spectral band?
N. Pinchon, O. Cassignol, A. Nicolas, F. Bernardin, P. Leduc , J-P. Tarel, R. Brémond, E. Bercier, G. Julien
BerlinSeptember 11-12 2018
AWARE
2
AWARE: WHAT DOES IT MEAN ?
Clear weather,fog, rain, snow
Urban, country roads and highways (transportation)
Runways (aeronautic)
DAY AND NIGHT
All Weather
Enhanced vision
All Roads
3
AWARE: KEY FIGURES
Key partners
10
2
2
36
5.5M€
Applicative domainsTransportation & aeronautic
Demo modules forecastedM1 for premiun vehicleand aeronautic
M2 for all vehicleMonths of projectFrom june 2014 to june 2017
R&D Including 1.7M€ Financed by the french competitiveness,industry and servicesdirectorate (DGCIS) andIsère General Council
4
WE ARE AWARE
5
Are you able to drive or to operate safely
with such visibility conditions
AWARE ORIGIN
OF COURSE NOT !
HERE IS, THE "AWARE" PROJECT ORIGIN !
6
AWARE ORIGIN
French Road Safety Observatory (ONISR): "Les accidents corporels de la circulation 2014 –
Recueil de données brutes", May 2015
INJURY
CASUALTIESFATALITIES
NIGHT 32% 41%
WET ROAD 20% 20%
ADVERSE
WEATHER21% 23%
AUTOMOTIVE
7
AWARE: THE STAKE
Allow the safe assisted and
automated driving of vehicles,
day and night.
INCREASE ROAD SIGNS AND OBSTACLES PERCEPTION
IN ALL-WEATHER BY USING A LOW COST IMAGE SENSOR
ADAS FUNCTION
Pedestrian detection
Vehicle shape
recognition
Traffic signs recognition
Road marking
detection
wavelength
4 IMAGING TECHNOLGIES UNDER EXPERIMENT8
CAMERA SENSORSPECTRAL
BANDOPTICS
Visible
RGB
CMOS – SXGA
(1280 x 966)
3x8 bits, pitch
4.2 μm
0,4-0,65 µm
HFOV = 54°
VFOV = 40°
F-number = 2
Extended
NIR
CMOS – SXGA
(1280 x 1024)
10 bits, pitch
5,3 μm
0,4-1 µm
HFOV = 39°
VFOV = 31°
F-number = 2.9
Extended
SWIR
InGaAs – VGA
(640 x 512)
14 bits, pitch
15 μm
0,6-1,7 µm
HFOV = 39° VFOV =
31°
F-number = 1.8
LWIR
Microbolomet
re - VGA (640
x 482)
14 bits, pitch
17 μm
8-12 µm
HFOV = 44° VFOV =
33°
F-number = 1.2
VISIBLE RGB1
1
EXTENDED NIR2
2
EXTENDED SWIR3
3
LWIR4
4
OUTDOOR TEST
A75 – Col de la Fageole
Cerema test’s ground
FOG TUNNEL
Clermont Ferrand
Cerema facility
FIELD TEST : SET-UP9
OUTDOOR TEST FOG TUNNEL
FIELD TEST : RANGE CALIBRATION10
FIELD TEST : OUTDOOR SCENARIOS11
SCENARIO WEATHERVISIBILITY
DISTANCE
AMBIENT
LIGHT
TEMPE-
RATURE
7Day, heavy fog,
light snow75 m 5032 lux -1°C
11Day, heavy fog
and snow69 m 1096 lux -1°C
22
Day low light,
heavy fog and
snow
75 m 104 lux -0.8°C
26 Night, heavy fog 99 m 0 lux +1.5°C
33 scenarios
Under test
=> 4 most relevant
EX SCENARIO #1 : DAY, CLEAR WEATHER 12
EX SCENARIO #7 : DAY, HEAVY FOG, LIGHT SNOW13
EX SCENARIO #26 : NIGHT,HEAVY FOG, 14
Vehicle
Front
Vehicle
Back
In adverse conditions:LWIR detect 3x times longer
15
EXPERIMENTAL RESULTS:PEDESTRIAN DETECTION
CAMERAFOG DENSITY
For “visible” pedestrian
detection at 25m
Visible
RGBModerate (visibility range = 47 ± 10 m)
Extended
NIRHigh(visibility range = 28 ± 7 m)
Extended
SWIRHigh(visibility range = 25 ± 3 m)
LWIR Extreme(visibility range = 15 ± 4 m)
16
EXPERIMENTAL RESULTS: VEHICLE DETECTION & RECOGNITION
DETEC-
TION
RECO-
GNI-
TION
TASK VISIBLE LWIR
In adverse conditions:VIS/NIR/SWIR detect Headlight,LWIR recognize shape
17
EXPERIMENTAL RESULTS: TRAFFIC SIGNS RECOGNITION
#1
DAY, CLEAR
WEATHER
#7
DAY, HEAVY
FOG, LIGHT
SNOW
VISIBLE NIR SWIR
In adverse conditions:NIR provides best SNRLWIR can not recognize
EXPERIMENTAL RESULTS: ROAD MARKING DETECTION
18
CAMERA
SCENARIO
22Visi 75m
SCENARIO
26Visi 99m
Using Headlight
Visible
RGB53m 53m
Extended
NIR60m 53m
Extended
SWIR63m 53m
LWIR - -
In adverse conditions:VIS/ NIR /SWIR equivalent using additional lighting
CONCLUSIONS19
ADAS FUNCTION
CAMERA SPECTRAL BAND
DAY FOG, USING HEADLIGHTS
CAMERA SPECTRAL BAND
NIGHT FOG, USING HEADLIGHTSVIS NIR SWIR LWIR VIS NIR SWIR LWIR
Pedestrian, detection + ++ ++ ++++ + ++ ++ ++++
Vehicle lights detection + ++ +++ --
Vehicle shape recognition + ++ ++ ++ - - -- ++
Traffic signs recognition + ++ - -- + ++ - --
Road marking detection + ++ ++ - + ++ ++ -
In adverse conditions:
Visible RGB extended toNIR combined with LWIRprovide the best spectralbands to improve ADASperformances of detectionor recognition such asvehicle, pedestrian, roadmarking, and traffic signs.
20
Cliquez et modifiez le titreN. Pinchon1, O. Cassignol2, A. Nicolas2, F. Bernardin3, P. Leduc 4, J-P. Tarel5, R. Brémond5, E. Bercier6,
G. Julien7
1: VALEO, 34 rue Saint André 93012 Bobigny Cedex, France2: SAGEM, 21 Avenue du Gros chêne 95610 Éragny Sur Oise, France
3: CEREMA, 8-10 rue Bernard Palissy 63017 Clermont-Ferrand Cedex 2, France4: CEA / Léti - 17 rue des Martyrs - 38054 Grenoble cedex 9, France
5: IFSTTAR / LEPSIS, 14-20 Boulevard Newton, Cité Descartes, 77447 Marne la Vallée Cedex 2, France6: ULIS, 364 Route de Valence - ZI Les Iles Cordées BP 27 - 38113 Veurey-Voroize, France
7: NEXYAD, 95 Rue Pereire 78100 Saint-Germain-en-Laye, France