Human Following for Wheeled Robot with Monocular Pan-tilt Camera
원문 초록
Human following on mobile robots has witnessed significant advances due to its potentials for real-world applications. Currently most human following systems are equipped with depth sensors to obtain distance information between human and robot, which suffer from the perception requirements and noises. In this paper, we design a wheeled mobile robot system with monocular pan-tilt camera to follow human, which can stay the target in the field of view and keep following simultaneously. The system consists of fast human detector, real-time and accurate visual tracker, and unified controller for mobile robot and pan-tilt camera. In visual tracking algorithm, both Siamese networks and optical flow information are exploited to locate and regress human simultaneously. In order in perform following with a monocular camera, the constraint of human height is introduced to design the controller. In experiments, human following are conducted and analysed in simulations and a real robot platform, which demonstrate the effectiveness and robustness of the overall system.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation
MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation
R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
WAFT: Warping-Alone Field Transforms for Optical Flow
Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual Tracking
Multimodal Fusion SLAM with Fourier Attention
토론
이 논문과 연결된 포럼 글이 아직 없습니다.