IoT – what it is and what is it not
• The Internet of Things (IoT) is the network of physical objects — devices, vehicles, buildings and other items—embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data.
• IoT enables integration of the physical world into computer-based systems;
• when IoT is augmented with sensors and actuators, the technology becomes an instance of the more general class of cyber-physical systems, which also encompasses technologies such as smart grids, smart homes, intelligent transportation and smart cities.
• IoT with sensors and actuators enables improved control of processes and thus efficiency, accuracy and economic benefit.
• Note that IoT and M2M (Machine-to-Machine) are frequently used as synonyms
• IoT is about connected objects and their digital representations
• M2M is about communication between machines, with no (or little) human intervention
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Domain specific services
• Typically IoT/M2M have been vertically integrated per domain or vendor – “my data/my service”
• Leading to vendor lock-in, proprietary solutions, tailor-made for given environment / problem
• Migrating solutions to other environment requires adjustments/time/money
ITS 2017 Strasbourg
Automotive Application
Health Application
Energy Application
Home Application
sensors
Communication networks
Service platform
sensors
Communication networks
Service platform
sensors
Communication networks
Service platform
sensors
Communication networks
Service platform
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IoT enabling platform
• IoT provides platform where all data is collected, and adding value to information which is based on cross-domain data.
• Heterogeneous communication makes it less important how are devices connected.
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Automotive Application
Health Application
Energy Application
Home Application
sensors sensors sensors sensors
Communication networks
IoT platform
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AIoTI High Level Architecture
The Alliance for Internet of Things Innovation (AIOTI) was initiated by the European Commission in order to develop and support the dialogue and interaction among the Internet of Things (IoT) various players in Europe. WG9: Smart Mobility The topic for this Working Group refers to IoT solutions that allow for increased multi-modal mobility, more efficient traffic management, a dynamic road infrastructure, automated road tolling, usage based insurance and improved policy making through the analysis of road usage data smart vehicles including autonomous and connected cars.
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Autonomous driving and IoT
Communication (3G/4G, WiFi, ZigBee, BT, … )
IoT Platform
CVE for street ‘ state ’
Parking app
Car sharing app
‘ state ’
and
Communication (ITS - G5, 4G, CAN/VAN )
Autonomous Driving Platform
Local dynamic map
Autonomous driving
Platooning
Devices Sources
Vehicle
state
Vehicle sensors and actuators
Safety critical control
…
IoT ‘stack’ Autonomous driving ‘stack’
• Two separate stovepipes • Vehicle using data from own
sensors, exchanges data with others in vicinity (vehicles, RSU, traffic lights)
• IoT platform as collection place for large amounts of data from connected devices
• Using IoT provides additional source of data for vehicle’s world model, and better use of services
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Car Zone • independent sensing
by car: video, lidar, radar, …
Cooperation Zone • dynamic Cooperation
cars & infrastructure
Smart City Zone • Smart City infrastructure
for assisted cars • information & services
for Autonoms Cars
Car Zone
Cooperation Zone
Tactical IoT info
V2V
V2X
Beacons
Smart City Zone
Car, Internet-of-Things and wider context
Other IoT
Other IoT platforms • Other IoT platfroms and services
for Autonomous Cars – maps, maintanance, insurance,…
• Other Smart cities • ….
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EU LSP AUTOPILOT – IoT for autonomous driving
Use a vehicle IoT platform
Evaluate network
performance needs
Create IoT and cloud based
service platforms
Involve many IoT sensors
Helmond/ Eindhoven
Tampere
Versailles
Florence- Livorno
Vigo
Daejeon
6 pilot sites
43 partners
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Autopilot – urban driving example
Automated Urban Driving supported with IoT has the main advantage of extending the perception range of an automated vehicle beyond what is provided by its own sensors. In this sense, the vehicle will become an IoT element, which will get relevant information and data (and provide it as well) from, for example, IoT connected elements, such as traffic lights, cameras or other connected vehicles.
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Autopilot – car sharing app example
Car sharing supported with IoT enables users to book cars and manage (modify, cancel, etc.) their bookings using the central car sharing service through a mobile or desktop application. IoT-enabled devices and vehicles of the IoT ecosystem publish relevant events (traffic, accidents, weather, parking spot availability, etc.) to the IoT platform.
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ITS-G5 RSU
ITS-G5 RSU
TASS systems
Fiber backbone
Hi-5 eNB (4G) Helmond
Hi-5 core network Den Haag
Huawei IoT (OSGI) platform Application server
Brainport – pilot site
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Time critical data via G5 (10-20ms)
Tactical data via LTE (100ms+)
MEC-node with IoT (oneM2M) platform
REST API
In-vehicle IoT and Apps Platform
A270 & P-Automotive Campus
MEC applications platform DLR drone
eNB (commercial) Helmond
Image processing
Sensinov IoT (oneM2M) platform
Public internet
Brainport applications platform (TNO, NEC, IBM)