Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

Object detection and tracking are the tasks that are important and challenging in various computer vision applications such as surveillance, vehicle navigation, and autonomous robot navigation. Video ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

TNO’s Temporal Small Object Detection algorithm offers advanced performance in visual monitoring, providing a reliable solution for real-time surveillance and security applications. Supported by ...