Conducción Automatizada -Algunas consecuencias en nuestra sociedad-
Gidatze automatizatua –ondorio batzuk gure gizartean-
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Donostia-San Sebastian, 16 Noviembre 2016 PhD. Joshué Pérez Rastelli
Outline: Introduction
Automated Vehicles Some
challenges and future Works in AV.
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Introduction
Electronic in vehicles today
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It is estimated that electronics account is more than 45 % of the cost of designing and producing some vehicles
Recent News:
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Recent News: Automotive Vision Firm VisLab Acquired by Ambarella for $30M (July, 2015)
Los primeros autobuses autónomos de España ya están en funcionamiento en San Sebastián
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Some Year ago…
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Timeline with important automated vehicle demonstrations
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D. Gonzalez, J. Pérez, V. Milanés and F. Nashashibi “A Review of Motion Planning Techniques for Automated Vehicles” in IEEE Trans. on Intelligent Transportation Systems, December 2015
International ITS research Groups
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International ITS research Groups
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Outline: Introduction
Automated Vehicles Some
challenges and future Works in AV.
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Intelligent Transportation Systems
Motivations
Techniques
Applications
Introduction
ITS objetives:
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To reduce: • Accidents • Transport times • Fuel consumption To increase: • Security • Comfort • Efficiency
Automated Driving
Advanced Driver Assistance Systems ADAS
What does ADAS mean?
The Advanced Driver Assistance Systems or ADAS, are embedded systems devoted to support the driver in the safe control of the vehicle.
Resuming: The challenge of the ADAS are the “Green, Safe and supportive transportation”, in particular to the “accident free mobility” scenarios. 12
Control Solutions in ADAS
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ADAS
From the control point of view control DAS systems can be classified as:
Longitudinal Control Systems: Those ADAS which are able to modify vehicle speed by accelerating or braking it.
Lateral Control Systems: Those ADAS which are able to change vehicle direction, usually actuating on the steering system
Global Control Systems: ADAS with a combination of longitudinal and lateral control or only warning systems.
Global Control Systems
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ADAS
Context
Automated Driving
Control architecture for automated vehicles
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D. Gonzalez, J. Pérez, V. Milanés and F. Nashashibi “A Review of Motion Planning Techniques for Automated Vehicles” in IEEE Trans. on Intelligent Transportation Systems, December 2015
Context
Automated Driving
Scientific Positioning Input used
Automated Twizy:
Our developments
Acquisition Communications
Sensors
BusCAN
Perception
V2V & Digital Infrastructure
Fusion
External
Internal
Decision Global & Local Planning, Cooperative Vehicles
Vehicle Model Dynacar
Traffic Models Macro
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Micro
Actuation Steering wheel, Pedals & Power train
Control Pre-planned trajectories, Intelligent / Classic
HIL & SIL
Control/navigation Next Steps: Research: • Platooning for urban environments • Path Planning generation with dynamic obstacles.
• Driver in the loop (Interaction and arbitration). • Cooperative maneuvers. • Merging • Overtaking • Platooning. • …
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Sharing vehicle control between driver and ADAS systems ď‚—
ď‚—
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The arbitration concept is the process of settling an argument or a disagreement by an entity that is not involved. Consideration of the standard SAE J3016 (January 2014).
Outline: Introduction
Automated Vehicles Some
challenges and future Works in AV.
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Self-driving cars: The next revolution - Some improvements?Some paradigms changes for the intelligent vehicle transportation: • Crash Elimination • Reduced Need for New Infrastructure
• Data Challenges • New Models for Vehicle Ownership (will you need you own car?) • Travel Time Dependability • Productivity Improvements • Improved Energy Efficiency • New Business Models & Scenarios
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Brain driving
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Deep Learning (NDIVIA)
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Some Challenges • Cyber security.
• Comprehensive general obstacle detection
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Some Challenges • Driver not available
• New crashes caused by automation o 3000 Million Miles for a fatal accident
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Others: • Extreme external conditions. • Real-time software safety/verification. • …
How Automated can change our world? â&#x20AC;˘ In 2050, 75 % of the population will live in cities (< 5% of the total Land).
97% in urban Cities
Impact in: - Congestion. - Safety - Use of Cities Space. - Emission - Pollution. 25
* From International Transport Forum, Urban Mobility System Upgrade
How Automated can change our world? Not only car are under used!!!:
Car Sharing in the last year:
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* From International Transport Forum, Urban Mobility System Upgrade
How Automated can change our world?... One example: Singapore simulation:
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* From International Transport Forum, Urban Mobility System Upgrade
How Automated can change our world?... One example: Singapore simulation:
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* From International Transport Forum, Urban Mobility System Upgrade
Some applications: ï&#x201A;&#x2014;
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Perfect World?
Thank you! Gracias! eskerrik asko! Merci! Conducción Automatizada -Algunas consecuencias en nuestra sociedad-
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Donostia-San Sebastian, 16 Noviembre 2016 PhD. Joshué Pérez Rastelli