@article{10.1145/3457356.3457366, 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} }