author = {Prabhakara, Akarsh and Singh, Vaibhav and Kumar, Swarun and Rowe, Anthony G.},
    title = {OSPREY: A MmWave Approach to Tire Wear Sensing},
    year = {2021},
    issue_date = {December 2020},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    volume = {24},
    number = {4},
    issn = {2375-0529},
    url = {https://doi.org/10.1145/3457356.3457366},
    doi = {10.1145/3457356.3457366},
    abstract = {Tire wear is a leading cause of accidents. Tire wear is measured either manually, or by embedding sensors in tires, or using off-tire sensors. Manual sensing is extremely tedious. Sensors embedded in tire treads are challenging to design and expensive to embed. Off-tire sensors like laser range finders are prone to debris that may settle in grooves. To overcome these shortcomings, we propose a mmWave radar based tire wear sensor, which is easy to install, and continuously provides accurate and robust tire wear measurements even in the presence of debris.},
    journal = {GetMobile: Mobile Comp. and Comm.},
    month = {mar},
    pages = {28–31},
    numpages = {4}