Abstract: The 6-D pose estimation is a critical work essential to achieve reliable robotic grasping. Currently, the prevalent method is reliant on keypoint correspondence. However, this approach ...
Abstract: High-quality environmental perceptions are crucial for self-driving cars. Integrating multiple sensors is the predominant research direction for enhancing the accuracy and resilience of ...
Abstract: Single point-supervised object detection is gaining attention due to its cost-effectiveness. However, existing approaches focus on generating horizontal bounding boxes (HBBs) while ignoring ...
Four key concepts are essential for understanding Clojure’s functional programming paradigm. Here’s how to apply what you ...
Abstract: The nighttime urban environment is increasingly affected by various forms of artificial light at night. Color temperature, a critical characteristic of light, has significant effects on ...
Abstract: Estimating the principal point for vehicle-mounted fisheye cameras is essential for accurate vision tasks. However, traditional calibration methods require human intervention and specific ...
Abstract: In this work, we propose a voxel-based single-stage fine-grained and efficient point cloud 3D object detection algorithm to address the inadequate granularity in point cloud feature ...
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