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Nan Guo

2 accepted papers

2022

Obstacle Avoidance With Dynamic Avoidance Risk Region for Mobile Robots in Dynamic Environments

RA-L 2022

Uncertainty in dynamic environment increases complexity and difficulty in obstacle avoidance of robots. An avoidance method with dynamic obstacle avoidance risk region in a dynamic environment is proposed in this study. First, using the state estimation of the extended kalman filter, a dynamic obsta

Cited by 57SourceScholar
2019

C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection

ICCV 2019poster

Weakly supervised object detection (WSOD) that only needs image-level annotations has obtained much attention recently. By combining convolutional neural network with multiple instance learning method, Multiple Instance Detection Network (MIDN) has become the most popular method to address the WSOD…

Cited by 128PDFScholar