BY THE PEOPLE, FOR THE PEOPLE: THE CROWDSOURCING OF "STREETBUMP": AN AUTOMATIC POTHOLE MAPPING APP

21 citations as recorded by crossref.

1. Situating Machine Intelligence Within the Cognitive Ecology of the Internet P. Smart
2. Threshold Based Efficient Road Monitoring System Using Crowdsourcing Approach N. Sabir et al.
3. An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring A. Alavi & W. Buttlar
4. NORA: Towards Large-Scale Vehicular Analytics for Driving Environment Monitoring/Assessment D. Grimm et al.
5. Mechanic citizenship: Boston Mayor’s Office of New Urban Mechanics and the constitution of digital citizens M. Boenig-Liptsin
6. Digitizing the world C. Edwards
7. Using big data for evaluating development outcomes: A systematic map F. Rathinam et al.
8. Study of the Factors Affecting Road Roughness Measurement Using Smartphones G. Wang et al.
9. Crowdsourcing in ITS: The State of the Work and the Networking X. Wang et al.
10. Pavement Management Utilizing Mobile Crowd Sensing B. Tian et al.
11. A deep learning approach to automatic road surface monitoring and pothole detection B. Varona et al.
12. Road Roughness Estimation Through Smartphone-Measured Acceleration K. Opara et al.
13. Determining Task Assignments for Candidate Workers Based on Trajectory Prediction Y. Li et al.
14. Towards Robust Vehicular Context Sensing H. Qiu et al.
15. Using citizen observatory GPS data to trace changes in cycling practices: prospects and limitations Y. Kone et al.
16. Highways as coupled infrastructure systems: an integrated approach to address sustainability challenges M. Janssen et al.
17. Smartphone applications for pavement condition monitoring: A review A. Al-Sabaeei et al.
18. Amplifying Quiet Voices D. Gooch et al.
19. Sidewalk pothole report improvement through citizen’s smartphone C. Sornsakul et al.
20. Concepts and practices for transforming infrastructure from rigid to adaptable E. Gilrein et al.
21. Providing more regular road signs infrastructure updates for connected driving: A crowdsourced approach with clustering and confidence level D. Tchuente et al.