Applications of Machine Learning for Autonomous Driving ...
Applications of Machine Learning for Autonomous Driving &
Challenges in Testing & Verifications
Ching-Yao Chan Nokia Workshop January 11, 2018
Taxonomy of A Driving Trip
? Driving Experience Taxonomy ? Classification by Timeline
Damage Mitigation
Active Control
Situational Awareness
Trip Advisory
< X Seconds
Time 0 Critical Event & Destination
X Sec to Y Min
Y Min to Z Hours
Taxonomy of Driving (by Critical Event)
Passive Safety Active Control Tactical Assist Trip Planning
Time 0 < X Seconds
X Sec to Y Min Y Min to Z Hours
Exemplar Automated & Assist Functions
? Strategic Advisory (Route Planning)
? Tactical Assist (Maneuver Planning)
? Control and Assist (Collision Avoidance)
? Damage Mitigation (Minimum Risk Actions)
Driving Tasks & Automation
Hierarchical Level of Driver Tasks Strategic (Long time intervals)
Tasks and Considerations
Trip planning, Route selection, Risks and costs, Satisfaction & comfort
Automation & Assist Functionality
Long-term planning, Route optimization Risk evaluation, Comfort/security assurance
Tactical (seconds)
Control (centi- or milliseconds)
Situation Awareness & Negotiating maneuvers,
Obstacle avoidance, Gap acceptance, Turning and overtaking Motor actions, Physical response
Partially or fully support
drivers for cognition, perception, and decision making
Enhance or substitute driver actions to overcome degradation of physical and mental abilities
Driving Tasks & ML/A.I.
Hierarchical Level of Driver Tasks Strategic (Long time intervals)
Tasks and Considerations
Trip planning, Route selection
Human and Artificial
Intelligence
Trip optimization (time, cost, risk, comfort, etc.)
Tactical (seconds)
Control (milliseconds)
Situation Awareness & Negotiating maneuvers,
Obstacle avoidance, Gap acceptance, Turning and overtaking Motor actions, Physical response
Inference, Anticipation, Adaptation, Planning, etc. (General A.I.)
Control optimization (safety, efficiency, smoothness, etc.)
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