LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast
decision-making when driving. The sensor is used in the perception system, especially …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

When it comes to some essential abilities of autonomous ground vehicles (AGV), detection
is one of them. In order to safely navigate through any known or unknown environment, AGV …

Fish species recognition is crucial to identifying the abundance of fish species in a specific
area, controlling production management, and monitoring the ecosystem, especially …

Three-dimensional object detection is crucial for autonomous driving to understand the
driving environment. Since the pooling operation causes information loss in the standard …

In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

The pursuit of autonomous driving relies on developing perception systems capable of
making accurate, robust, and rapid decisions to interpret the driving environment effectively …

Transformer architectures have exhibited promising performance in various autonomous
driving applications in recent years. On the other hand, its dedicated hardware acceleration …

In this paper, we propose a 3D object detection method called MMAF-Net that is based on
the multi-view and multi-stage adaptive fusion of RGB images and LiDAR point cloud data …

Vision-based 3D scene perception and understanding are crucial for autonomous driving,
robot navigation, and obstacle avoidance. However, describing objects with arbitrary shapes …