Reinforcement learning is of increasing importance in the field of robot...
In this paper we have addressed the implementation of the accumulation a...
Recent advances in event camera research emphasize processing data in it...
Perception and control systems for autonomous vehicles are an active are...
Object detection in 3D is a crucial aspect in the context of autonomous
...
Object detection and segmentation are two core modules of an autonomous
...
Despite the dynamic development of computer vision algorithms, the
imple...
In this paper, we propose a real-time FPGA implementation of the Semi-Gl...
This paper presents a method for detection and recognition of traffic si...
This paper proposes the use of an event camera as a component of a visio...
Deep neural networks virtually dominate the domain of most modern vision...
3D object detection from LiDAR sensor data is an important topic in the
...
Quantum Neural Networks (QNNs) are an emerging technology that can be us...
In recent years, event cameras (DVS - Dynamic Vision Sensors) have been ...
This paper presents a system for hardware-in-the-loop (HiL) simulation o...
Neuromorphic vision is a rapidly growing field with numerous application...
Siamese trackers have been among the state-of-the-art solutions in each
...
Object detection is an essential component of many vision systems. For
e...
This paper presents a method for automatic generation of a training data...
This work describes the hardware implementation of a connected component...
In this paper, we present a control system that allows a drone to fly
au...
Deep learning algorithms are a key component of many state-of-the-art vi...
In this paper we present our research on the optimisation of a deep neur...
In this paper the research on optimisation of visual object tracking usi...
In this paper we present a vision based hardware-software control system...
This paper presents a GPU implementation of two foreground object
segmen...