Real-Time Localization Framework for Autonomous Basketball Robots
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.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Context-Aware 3D Object Localization from Single Calibrated Images: A Study of Basketballs
Accurately localizing objects in three dimensions (3D) is crucial for various computer vision applications, such as robotics, autonomous driving, and augmented reality. This task finds another important application in sp…
Autonomous DrivingCamera CalibrationObject LocalizationSports AnalyticsSee It Before You Grab It: Deep Learning-based Action Anticipation in Basketball
Computer vision and video understanding have transformed sports analytics by enabling large-scale, automated analysis of game dynamics from broadcast footage. Despite significant advances in player and ball tracking, pos…
Action AnticipationPose EstimationBasketEvent: Understanding Who Did What and When in Basketball Videos
Comprehensive basketball video understanding requires resolving not only what event occurs, but also who is responsible and when the key evidence appears. However, exist- ing methods typically treat spatial perception an…
NBA_Streaming: A Large-Scale Benchmark for Fine-Grained Basketball Commentary Generation in Continuous Streams
Live basketball commentary generation requires determining when an event is sufficiently observable and describing it before subsequent events unfold. However, existing methods are primarily designed for pre-segmented cl…
Ball 3D Localization From A Single Calibrated Image
Ball 3D localization in team sports has various applications including automatic offside detection in soccer, or shot release localization in basketball. Today, this task is either resolved by using expensive multi-views…