Motivated by safety challenges resulting from distracted pedestrians, we design and implement VSpace, an acoustic-based system to alert pedestrians of any oncoming vehicles with their smartphones by acoustic Doppler Effect profiling. VSpace can figure out the vehicle spatial status including velocity, direction and minimum distance online based on vehicle acoustic sensing. VSpace performs vehicle spatially-aware discovering in four major steps: (1)Vehicle acoustic signal processing; (2)Vehicle classification; (3)Vehicle sound Doppler profiling and (4)Vehicle spatial status reconstruction. All implementation of VSpace is based on a COTS smartphone with a microphone. We evaluate VSpace with comprehensive experiments of 20 different vehicles in 240 practical cases, in which VSpace...[ Read more ]

Motivated by safety challenges resulting from distracted pedestrians, we design and implement VSpace, an acoustic-based system to alert pedestrians of any oncoming vehicles with their smartphones by acoustic Doppler Effect profiling. VSpace can figure out the vehicle spatial status including velocity, direction and minimum distance online based on vehicle acoustic sensing. VSpace performs vehicle spatially-aware discovering in four major steps: (1)Vehicle acoustic signal processing; (2)Vehicle classification; (3)Vehicle sound Doppler profiling and (4)Vehicle spatial status reconstruction. All implementation of VSpace is based on a COTS smartphone with a microphone. We evaluate VSpace with comprehensive experiments of 20 different vehicles in 240 practical cases, in which VSpace achieves an overall accuracy of 91.67% in vehicle classification and satisfactory low relative error in vehicle spatial status reconstruction, respectively.