The team’s first step in February 2018 was to use GRIDSMART cameras to create an image dataset of vehicle classes. With GRIDSMART cameras conveniently installed on the ORNL campus, the team also employed a ground-based roadside sensor system being developed at ORNL, allowing them to combine the overhead images with high-resolution ground-level views.
ORNL researchers use stop-light cameras to reduce fuel consumption of less-efficient vehicles via traffic management
February 25, 2020
Published on February 25, 2020 by maspect_admin