There have been concerted nationwide efforts to improve roadway safety. However, the fatality rate and number of fatalities have increased over the past couple of years from reckless behaviors such as speeding, alcohol impairment, and not wearing seat belts. Intersections are particularly dangerous sections of the roadway system due to being points of conflict between vehicles, pedestrians, and bicyclists. Multiple video cameras are becoming increasingly common at urban traffic intersections. The motion of the vehicles can be invaluable to traffic analysis, including vehicle type, speed, density, trajectory and frequency of events such as near-accidents. Infrastructure-to-Vehicle (I2V) communication systems can provide such analysis to other (semi-)autonomous vehicles approaching the intersection. We propose the development of methods for 3D reconstruction of vehicles from multiple unsynchronized cameras.
Name | Affiliation | Role | Position | |
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marien@andrew.cmu.edu | Marie, Nguyen | Robotics Institute | Other | Student - Masters |
srinivas@cs.cmu.edu | Narasimhan, Srinivasa | Robotics Institute | PI | Faculty - Adjunct |
rtamburo@cmu.edu | Tamburo, Robert | Robotics Institute | Co-PI | Faculty - Research/Systems |
Type | Name | Uploaded |
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Progress Report | 18_Progress_Report_2017-09-30 | Sept. 29, 2017, 12:43 p.m. |
Publication | carfusion.pdf | March 28, 2018, 12:11 p.m. |
Publication | materalawareness.pdf | March 28, 2018, 12:11 p.m. |
Presentation | Smart Headlights | March 28, 2018, 12:14 p.m. |
Presentation | Headlights of the Future | March 28, 2018, 12:18 p.m. |
Progress Report | 18_Progress_Report_2018-03-31 | March 29, 2018, 1:38 p.m. |
Final Report | 18_final_report.pdf | Sept. 28, 2018, 5:19 a.m. |
Publication | Carfusion: Combining point tracking and part detection for dynamic 3d reconstruction of vehicles. | Nov. 28, 2020, 10:23 a.m. |
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