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AutonomousVehicles Conference
THE STRIVE FOR ROBUST AND
RELIABLE SENSORS
Karsten Bronowski
Berlin, 23-24 November 2022
Confidential ยฉ2022 XenomatiX
Agenda
Camera, Radar, Lidar - which Sensors are required
Data Analysis - AI vs. rule based approaches
Integration aspects โ€“ reliable & predictable data
Missing links - data for driving comfort and HD Maps
2
XenomatiX
Confidential ยฉ2022 XenomatiX
XenomatiX at a glance
4
Global coverage Unique Technological Offering
Multi-Tier I
Key stats
2013
70+
50+
Patents
Established
Staff
60+
Engaged
Customers
Cost
Size
Reliability
Confidential ยฉ2022 XenomatiX
Next generationTrue Solid State LidarTechnology
XenoLiDAR
for DrivingAssistance,
Autonomous Driving and other
applications
XenoTrack
HD Road andOffroad Data for
referencing, simulation and
identifying road quality
Engineering Services
for Software, Simulation and
Integration Support
Which Sensors?
Confidential ยฉ2022 XenomatiX
LiDAR data: 3D, intensity + 2D day and night
11
Confidential ยฉ2022 XenomatiX
Detection capabilities of sensor technologies
12
LiDAR technology
Small
Large
Bright Dark
Camera technology
Radar technology
Ambient light
Object
size
Confidential ยฉ2022 XenomatiX
There is no one LiDAR โ€“ influences on object detection
Consistency of data โ€“ e.g. Instant vs. Scanning
Information distribution โ€“ e.g. even distributed angular resolution and frame rate
over the full FoV
Using all relevant Data โ€“ e.g. combination of 3D-Geometry and Intensity
Easy Review / Annotation โ€“ e.g. Commenting in fused 2DVideo
Visual Image
Reflectivity Image
Depth Image
โ€ข Object 3D location
โ€ข Object 3D dimensions
โ€ข Object classification
XenomatiX
4D AI object
detection
AI vs. Rule based
Confidential ยฉ2022 XenomatiX
4D-AI โ€˜objectโ€™ detection based on 4D LiDAR data only
Confidential ยฉ2022 XenomatiX
NN Example - Smart Crossing
16
Benefits of 4D AI:
โ€ข Only requires shallow network
โ€ข Independent from light conditions
โ€ข Detection, classification and localisation
Confidential ยฉ2022 XenomatiX
NN Example - Lane Detection
Real world
situation
Road marking
detection
Intensity Image Depth Image
Intensity Image Depth Image
Confidential ยฉ2021 XenomatiX
Confidential ยฉ2022 XenomatiX
Comparison Rule-based vs NN artificial intelligence
Rule-based Neural Network based
Programming work type Hard programming NN training
Iterations Debug Retrain
Change in object (size) to detect Adapt rules (parameters) Retrain
Change in environment/region Adapt rules (parameters) Retrain
Speed and latency Fast Fast
โ€ฆ
TPR/FNR and mAP f(clear rules) f(training)
Result understanding High Low
19
Disadvantagers rule-based program
More programming work
More geometric information required โ€“ clear โ€˜rulesโ€™
Advantages on rule-based program
Less data collection on site for NN training & validation
Validation and functional environment can differ
Program easier exportable to other integration positions
and situations
Integration
20
Confidential ยฉ2022 XenomatiX
Estethical: GV80 Headlamp-lidar demonstrator
21
Genesis GV80 (2022)
XenoLidar-X compact design is ideal for
modern headlamps with narrow lens covers
Confidential ยฉ2022 XenomatiX
Position: AEB โ€“VRU
22
Windshield (blue) vs. Headlamp (red)
EuroNCAP
Recent new EuroNCAP test:
Child walking out from behind a vehicle or large object:
The camera/lidar behind the windshield might not detect the target
which is (partially) hidden by the parked cars
(+)The headlamp-lidar will have a full image of the child well
before the camera/lidar behind the windshield
Confidential ยฉ2022 XenomatiX
23
Reliability: Lidar cover cleaning tests
In collaboration with
Confidential ยฉ2022 XenomatiX
XenoLiDAR stands all challenges of automotive optical sensors
Coping harsh
environments
Low standing sun
Lack of ambient light
High dynamic range
Rain
Snow
Other LiDAR Sensors
Supply chain ready for
automotive grade products
Emitter and sensing
technology already used in
automotive applications
Existing automotive grade
production and assembly
lines
Established test
procedures
Scalable and simple BOM
Easy integration and
repairability
A-thermal design
Compact size
Pre-calibrated,
monolithic modules
No moving beams for
easier calibration
No moving parts for
long term stability
LiDAR in Automotive for Comfort &
HD MAPs
Confidential ยฉ2022 XenomatiX
Xenotrack as reference system for measuring road eveness
Confidential ยฉ2022 XenomatiX
Active Suspension for superior ride comfort
Key benefits:
โ€ข Millimeter precision, day & night
โ€ข Control signal for each wheel
โ€ข Automatic roll & pitch correction
Leading Suspension Manufacturer
Goal More ride comfort thanks to preview for
active suspension
Approach XenoTrack measures mm precision road
profile & generates suspension control signal
Result โ€ข Up to 70% more body stability
โ€ข Best quality road profile measurement
27
Confidential ยฉ2022 XenomatiX
High Precision Road Data for HD Maps
28
Confidential ยฉ2022 XenomatiX
The (near) future: more sensors, more data
More data, new possibilities
Make wider use of sensors and think Big Data
Amount and type of data creates new ideas and new
possibilities
Crowd source HD-maps
AD can also benefit from smart infrastructure:
All roads will be digitized
Make/maintain inventory of road
infrastructure
Collect road quality info automatically
Save money thanks to predictive
maintenance of infrastructure
Cities will become smarter:
City crossings will be equipped with LiDAR, camera
and other sensors
Collaboration between infrastructure and vehicles
e.g. for prevention of hazardous situations
Save time and emissions with better traffic flow
Summary
30
Confidential ยฉ2022 XenomatiX
Summary
LiDAR is one of the SensorTechnologies, that is required in Fusion with other Sensors
to reach reliable ADAS functions and AD for SAE Level 3 and higher
LiDARs main advantages are real measurements and operation independent of
ambient light conditions vs. Cameras and a higher resolution for better object
classification compared to Radar
LiDAR itself is no Standard but is a technology that is realized by many different
approaches, from evolutionary to Cutting Edge
LiDAR integration and reliable operation is not as established as the longer existing
Camera and Radar sensors deployed in a more standardized way today
All this leads to question regarding robustness, scalability and efficiency for the
LiDAR sensors and the whole sensor suite that have to be considered
31
Confidential ยฉ2022 XenomatiX
Thanks for your interest.
Karsten Bronowski
Sales & Business Development
Karsten.Bronowski@xenomatix.com
+49 173 673 69 60

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THE STRIVE FOR ROBUST AND RELIABLE SENSOR SUITES IN ADAS AND AD

  • 1. AutonomousVehicles Conference THE STRIVE FOR ROBUST AND RELIABLE SENSORS Karsten Bronowski Berlin, 23-24 November 2022
  • 2. Confidential ยฉ2022 XenomatiX Agenda Camera, Radar, Lidar - which Sensors are required Data Analysis - AI vs. rule based approaches Integration aspects โ€“ reliable & predictable data Missing links - data for driving comfort and HD Maps 2
  • 4. Confidential ยฉ2022 XenomatiX XenomatiX at a glance 4 Global coverage Unique Technological Offering Multi-Tier I Key stats 2013 70+ 50+ Patents Established Staff 60+ Engaged Customers Cost Size Reliability
  • 5. Confidential ยฉ2022 XenomatiX Next generationTrue Solid State LidarTechnology XenoLiDAR for DrivingAssistance, Autonomous Driving and other applications XenoTrack HD Road andOffroad Data for referencing, simulation and identifying road quality Engineering Services for Software, Simulation and Integration Support
  • 7. Confidential ยฉ2022 XenomatiX LiDAR data: 3D, intensity + 2D day and night 11
  • 8. Confidential ยฉ2022 XenomatiX Detection capabilities of sensor technologies 12 LiDAR technology Small Large Bright Dark Camera technology Radar technology Ambient light Object size
  • 9. Confidential ยฉ2022 XenomatiX There is no one LiDAR โ€“ influences on object detection Consistency of data โ€“ e.g. Instant vs. Scanning Information distribution โ€“ e.g. even distributed angular resolution and frame rate over the full FoV Using all relevant Data โ€“ e.g. combination of 3D-Geometry and Intensity Easy Review / Annotation โ€“ e.g. Commenting in fused 2DVideo Visual Image Reflectivity Image Depth Image โ€ข Object 3D location โ€ข Object 3D dimensions โ€ข Object classification XenomatiX 4D AI object detection
  • 10. AI vs. Rule based
  • 11. Confidential ยฉ2022 XenomatiX 4D-AI โ€˜objectโ€™ detection based on 4D LiDAR data only
  • 12. Confidential ยฉ2022 XenomatiX NN Example - Smart Crossing 16 Benefits of 4D AI: โ€ข Only requires shallow network โ€ข Independent from light conditions โ€ข Detection, classification and localisation
  • 13. Confidential ยฉ2022 XenomatiX NN Example - Lane Detection Real world situation Road marking detection Intensity Image Depth Image Intensity Image Depth Image
  • 15. Confidential ยฉ2022 XenomatiX Comparison Rule-based vs NN artificial intelligence Rule-based Neural Network based Programming work type Hard programming NN training Iterations Debug Retrain Change in object (size) to detect Adapt rules (parameters) Retrain Change in environment/region Adapt rules (parameters) Retrain Speed and latency Fast Fast โ€ฆ TPR/FNR and mAP f(clear rules) f(training) Result understanding High Low 19 Disadvantagers rule-based program More programming work More geometric information required โ€“ clear โ€˜rulesโ€™ Advantages on rule-based program Less data collection on site for NN training & validation Validation and functional environment can differ Program easier exportable to other integration positions and situations
  • 17. Confidential ยฉ2022 XenomatiX Estethical: GV80 Headlamp-lidar demonstrator 21 Genesis GV80 (2022) XenoLidar-X compact design is ideal for modern headlamps with narrow lens covers
  • 18. Confidential ยฉ2022 XenomatiX Position: AEB โ€“VRU 22 Windshield (blue) vs. Headlamp (red) EuroNCAP Recent new EuroNCAP test: Child walking out from behind a vehicle or large object: The camera/lidar behind the windshield might not detect the target which is (partially) hidden by the parked cars (+)The headlamp-lidar will have a full image of the child well before the camera/lidar behind the windshield
  • 19. Confidential ยฉ2022 XenomatiX 23 Reliability: Lidar cover cleaning tests In collaboration with
  • 20. Confidential ยฉ2022 XenomatiX XenoLiDAR stands all challenges of automotive optical sensors Coping harsh environments Low standing sun Lack of ambient light High dynamic range Rain Snow Other LiDAR Sensors Supply chain ready for automotive grade products Emitter and sensing technology already used in automotive applications Existing automotive grade production and assembly lines Established test procedures Scalable and simple BOM Easy integration and repairability A-thermal design Compact size Pre-calibrated, monolithic modules No moving beams for easier calibration No moving parts for long term stability
  • 21. LiDAR in Automotive for Comfort & HD MAPs
  • 22. Confidential ยฉ2022 XenomatiX Xenotrack as reference system for measuring road eveness
  • 23. Confidential ยฉ2022 XenomatiX Active Suspension for superior ride comfort Key benefits: โ€ข Millimeter precision, day & night โ€ข Control signal for each wheel โ€ข Automatic roll & pitch correction Leading Suspension Manufacturer Goal More ride comfort thanks to preview for active suspension Approach XenoTrack measures mm precision road profile & generates suspension control signal Result โ€ข Up to 70% more body stability โ€ข Best quality road profile measurement 27
  • 24. Confidential ยฉ2022 XenomatiX High Precision Road Data for HD Maps 28
  • 25. Confidential ยฉ2022 XenomatiX The (near) future: more sensors, more data More data, new possibilities Make wider use of sensors and think Big Data Amount and type of data creates new ideas and new possibilities Crowd source HD-maps AD can also benefit from smart infrastructure: All roads will be digitized Make/maintain inventory of road infrastructure Collect road quality info automatically Save money thanks to predictive maintenance of infrastructure Cities will become smarter: City crossings will be equipped with LiDAR, camera and other sensors Collaboration between infrastructure and vehicles e.g. for prevention of hazardous situations Save time and emissions with better traffic flow
  • 27. Confidential ยฉ2022 XenomatiX Summary LiDAR is one of the SensorTechnologies, that is required in Fusion with other Sensors to reach reliable ADAS functions and AD for SAE Level 3 and higher LiDARs main advantages are real measurements and operation independent of ambient light conditions vs. Cameras and a higher resolution for better object classification compared to Radar LiDAR itself is no Standard but is a technology that is realized by many different approaches, from evolutionary to Cutting Edge LiDAR integration and reliable operation is not as established as the longer existing Camera and Radar sensors deployed in a more standardized way today All this leads to question regarding robustness, scalability and efficiency for the LiDAR sensors and the whole sensor suite that have to be considered 31
  • 28. Confidential ยฉ2022 XenomatiX Thanks for your interest. Karsten Bronowski Sales & Business Development Karsten.Bronowski@xenomatix.com +49 173 673 69 60