Localization is a fundamental capability for autonomous robots, enabling them to operate effectively in dynamic environments. In Robocon 2025, accurate and reliable localization is crucial for improving shooting precision, avoiding collisions with other robots, and navigating the competition field efficiently. In this paper, we propose a hybrid localization algorithm that integrates classical techniques with learning based methods that rely solely on visual data from the court's floor to achieve self-localization on the basketball field.

翻译：定位是自主机器人的基本能力，使其能够在动态环境中有效运行。在Robocon 2025竞赛中，精确可靠的定位对于提高投篮精度、避免与其他机器人碰撞以及高效导航比赛场地至关重要。本文提出一种混合定位算法，该算法将经典技术与基于学习的方法相结合，仅利用球场地面视觉数据实现篮球场上的自主定位。