Automated driving Sensing challenges
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Samia AHIAD, System & Validation Manager Automated driving Sensing challenges
Transcript of Automated driving Sensing challenges
Samia AHIAD, System & Validation Manager
Automated driving Sensing challenges
VALEO RESERVED April 2021
ADAS & AD SYSTEMS AT VALEO
SENSORS
SYSTEMS &FUNCTIONSParking & Maneuvering Driving Automation
Surround View Computer Vision Active Safety
CONTROL UNITS
Long-rangeCameras
Long-rangeLidar
Mid-rangeRadar
Rain/LightSensor
SingleControl Unit
Parking / VisionController
Domain / ZonalController
Near-fieldCameras
Near-fieldLidar
Near-fieldRadar
UltrasonicSensors
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VALEO RESERVED April 2021
SENSING TECHNOLOGIES HAVE STRENGTHS & DRAWBACKS
ULTRASONIC CAMERA RADAR SCALA LIDAR
+ Distance measurement
- Sensitivity to reflectivity e.g. wool coat
+ Objects classification
- Ambient light
+ Objects tracking
- Metallic objects
+ Long range distance
- Sensitivity to water projection
Components & Systems design must be derived from Vehicle Safety & User Acceptance
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April 2021
Primary path
Fallback
Supervision
Safety
check
Secondary pathSwitch
Main (ASIL D)
Backup (ASIL B)
ADS ARCHITECTURE DESIGN
Availability
Monitoring
Robustness
Integrity
Diversity
ADS architecture shall consider sensors capabilities & limitations4 |
VALEO RESERVED April 2021
ADS SUPERVISION & FALLBACK
Left Rear Sensors
Unavailable due to HW/SW
failure or to external event
Manoeuvre planning
After a major sensing failure, the ADS shall bring the vehicle to a safe state
Stop area identification
VALEO RESERVED April 2021
SUM UP
Availability can be ensured by high performance sensors & fusion strategies
Sensors diversity with at least 3 technologies is a prerequisite
Supervision, fallback & MRM are key functions for safety & acceptability
Sensing specifications should be derived from end user expectations
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