Researchers and robotic development groups have recently started paying special attention
to autonomous mobile robot navigation in indoor environments using vision sensors. The …

The ability to effectively detect vehicles and obtain their comprehensive information through
sensors to achieve early warning of a collision and intelligent long-range light exposure are …

This thesis presents the study on vehicle localization on an urban highway scenario, which
employs a novel technique that investigates the fusion of RF signal and Fish-eye camera to …

As UAVs become viable for more applications, pose estimation continues to be critical. All
UAVs need to know where they are at all times, in order to avoid disaster. However, in the …

To improve the vehicle detection accuracy under the condition of low light and long-distance
detection requirements on expressway, a radar–camera fusion vehicle target detection …

Millimeter-wave (mmWave) radars are now ubiquitous in multi-sensor applications due to
their compact size, precision, penetrability, and being privacy compliant, unlike their optical …

Road traffic involves many different objects such as trees, pedestrians, cyclists, vehicles
which complicates the signal processing phase and requires a complex algorithm to classify …

The vehicle detection system is an essential part of autonomous navigation systems. In this
paper, the investigation on the vehicle detection system is conducted by integrating the …

With the outbreak of the COVID-19 and the subsequent medical pressure, many innovations
were emerged to deal with the huge workload, especially the medical assistant robots …

To improve the the vehicle detection accuracy under the condition of low light and long
distance detection requirements on expressway, a radar-camera fusion vehicle target …