1. Mining Vehicular Context: The Full Spectrum Moustafa Youssef Wireless Research Center of Excellence @ E-JUST

2. Vehicular Context What the vehicle is doing – Location – Speed, acceleration – Braking – Fuel consumption Sensors – Cell phones – OBD Ultimate goal – Driverless cars (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

3. Wider Spectrum Context User – Texting – Sleepy(ing) – Driver, passenger Vehicle – Car location – Speed, acceleration – Braking – Fuel consumption – Temperature, humidity, rain Environment – Awareness of surroundings (driverless cars) – Crowd-sensing: Traffic congestion, pollution, sound levels (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

4. Wider Spectrum Sensors OBD Driver/passenger cell phone Special sensors – CO2 Unconventional sensors – Other users/cars – Sensor-less sensing - Device-free sensing [Youssef et al’07] (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

5. Challenges Ubiquitous/zero cost – Cell phones/environment as a sensor? Heterogeneity of sensors – Different devices, different signals Scale – Millions (billions) of users – Data size – Data rate/bandwidth (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

6. Challenges Noise in data – Cheap sensors Efficient computation/processing – Batch/opportunistic upload Vs. realtime processing – Offloading to cloud – Local clouds (cloudlets) Privacy/security (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

7. Selected Projects

8. Projects Map++ – Crowd-sourced semantic-rich map construction Dejavu – Accurate Energy-efficient GPS Replacement ReVISE – Ubiquitous Car Type/Speed Estimation ARTS – Ubiquitous Traffic Monitoring

9. Map++ [SECON’14] Crowd-sensing for automatic map semantic identification (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

10. Map++: Basic Idea Different semantics have unique sensor signature (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

11. Dejavu [ACM SIGSPATIAL’13-Best Paper Award] Accurate energy-efficient outdoor localization GPS replacement Even more accurate in in-city driving conditions (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

12. Dejavu: Basic Idea Dead-reckoning Unique anchors for error-resetting – Physical – Virtual (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

13. ReVISE: Car Type/Speed [VTC’12] Ubiquitous transparent traffic state monitoring Device-free localization concept (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

14. ReVISE: Car Type/Speed Current deployment: Road side – Car speed, human/car differentiation, car type (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

15. ARTS [SIGSPATIAL’14] Accurate and reliable road traffic estimation – Cellular-based: single cell tower (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

16. Conclusions Wide spectrum of context information – And sensors Number of challenges that need to be addressed Applications avalanche effect (c) 2014, The Wireless Research Center, E-JUST. http://wrc.ejust.edu.eg

17. For More Information Project web site: http://wrc-ejust.org/projects Papers Media coverage Funded by: