Robot target recognition is a critical and fundamental machine vision task. In this paper,
InVision, a robot target recognition approach is proposed using deep federated learning …

Despite the impressive progress brought by deep network in visual object recognition, robot
vision is still far from being a solved problem. The most successful convolutional …

The primary objective of this research work is to converge into an accurate working
algorithm for object recognition in a cluttered scene and subsequently helping the BAXTER …

Convolutional neural network is powerful for general object recognition. However, its
excellent performance depends largely on huge training set. Facing task like military object …

The ability to recognize objects is an essential skill for a robotic system acting in human-
populated environments. Despite decades of effort from the robotic and vision research …

Object detection and recognition is the premise and foundation for intelligent service robot to
understand the surrounding environment and make intelligent decisions. In this paper …

Vehicle type recognition from surveillance images represents a challenging task in the
domain of intelligent monitoring systems. Recently, deep learning methods have been …

Collaborative perception enables autonomous vehicles to exchange sensor data among
each other to achieve cooperative object classification, which is considered an effective …

With an overwhelming increase in the demand of autonomous systems, especially in the
applications related to intelligent robotics and visual surveillance, come stringent accuracy …

Despite the recent success of state-of-the-art deep learning algorithms in object recognition,
when these are deployed as-is on a mobile service robot, we observed that they failed to …