REMOTE-CONTROLLED TECHNOLOGY ASSESSMENT FOR SAFER CONSTRUCTION

Figure 18: Autonomous impact protection vehicle [44]

3 Selected Technologies The tech scan provided over 23 remote-controlled technologies that showed promising benefits to improve worker safety in highway construction, inspection, and maintenance. It was determined by the project’s Technical Panel that the technologies chosen for the next phase should have a priority to paving work and inspection. Therefore, technologies that were not directly related to pavement work like roadside maintenance, drainage inspection, and land surveying were disregarded from further analysis. The Technical Panel decided to farther investigate two technologies that are of substantial importance for asphalt pavement construction and inspection. The technologies selected focused on the quality control of asphalt paving. The first, Automated Real-Time Thermal Profiling for Asphalt Paving using Infrared Cameras, is able to determine the asphalt mat temperatures continuously during paving. Then, the Remote-Controlled Density Profiling System can provide quick and comprehensive density data for the asphalt layer during and after compaction. The final technology was chosen in leu of the country’s growing interest in connected and automated 24

REMOTE-CONTROLLED TECHNOLOGY ASSESSMENT FOR SAFER CONSTRUCTION

Articles inside

Appendix B: Technology Transfer Workshops

Appendix A: IRISE survey

References

operated cart

Figure 38: AIPV system layout [97

accuracy tests: (a) following accuracy, (b)lane changing, (c) roundabout operation, (e) minimum turn radius, (f) U-turn [86

Figure 35: Impact testing of TMA on a tractor [89

Figure 37: AIPV system overview [95

Figure 36: Accident involving IPV of the Virginia DOT [92

Figure 33: Dielectric Maps from Joint Surveys of I-95 near Pittsfield, Maine [63

Figure 32: Joint survey [63

Figure 27: A prototype of MnDOT remotely operated rolling asphalt density meter

Figure 30: Real-time data visualization and comparison with cores [63

Figure 31: Cherryfield, Maine calibration model [63

Figure 24: Cleaned temperature profile [52

Figure 23: Examples of Pave Project ManagerTM detailed reports with temperature profiles and paver speed or time diagram [53

Figure 25: PDP instrument background principle of operation [73

Table 3: Specification recommendations for LaDOTD [48

Figure 22: On-board computer output for real time feedback [53

Figure 19: Temperature segregation identified with thermal imaging [47

Figure 6: Conduit remote inspection using (a) crawler robot (b) UAS [22

Figure 5: Marker placement with (a) manual method and (b) automated system [19

Figure 21: Infrared sensors attached to paver for real-time thermal data acquisition [52,53

Figure 20: Distress due to temperature segregation causing inadequate compaction [50

Figure 9: Infrared sensors attached to paver for real-time thermal data acquisition [26] and the latest version of IR temperature scanners [27

Figure 18: Autonomous impact protection vehicle [44

Figure 4: Example of bridge deck demolition using a remote-controlled robot [15