Environmental perception technology is key to self-driving. Nowadays, this is mostly
conducted using cameras and LiDAR, despite their poor immunity to interference and high …

Snow is one of the toughest adverse weather conditions for object detection (OD). Currently,
not only there is a lack of snowy OD datasets to train cutting-edge detectors, but also these …

Accurate and real-time detection of small targets of pedestrians and cars in video images is
indeed crucial for various applications such as autonomous driving and urban management …

The technology for identifying birds around power towers using cameras alone is still
susceptible to environmental interference. This paper proposes a new bird damage …

Simulation is an invaluable tool for radio-frequency system designers that enables rapid
prototyping of various algorithms for imaging target detection classification and tracking …

Frequency modulated continuous wave (FMCW) radar is increasingly used for various
detection and classification applications in different fields, such as autonomous vehicles and …

Target classification using radar cross-section statistics of millimeter-wave scattering | Emerald
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …

Empowered by the feature extraction ability of deep neural networks (DNNs), the DNN-
based device-free wireless sensing (DFWS) could recognize human activity by analyzing …

Millimeter-wave (MMW) radar is becoming an essential sensing technology in smart
environments due to its light and weather-independent sensing capability. Such capabilities …

Tagnoo is a computational plywood augmented with RFID tags, aimed at empowering
woodworkers to effortlessly create room-scale smart environments. Unlike existing solutions …