178 citations · 569 across the 193 of their papers we have counts for
5 papers · 1 filter
Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
Kaite Xiang, Kailun Yang, Kaiwei Wang
Semantic Segmentation (SS) is promising for outdoor scene perception in safety-critical applications like autonomous vehicles, assisted navigation and so on. However, traditional S…
ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based Data
Jiaming Zhang, Kailun Yang, Rainer Stiefelhagen
Ensuring the safety of all traffic participants is a prerequisite for bringing intelligent vehicles closer to practical applications. The assistance system should not only achieve…
Can we cover navigational perception needs of the visually impaired by panoptic segmentation?
Wei Mao, Jiaming Zhang, Kailun Yang +1
Navigational perception for visually impaired people has been substantially promoted by both classic and deep learning based segmentation methods. In classic visual recognition met…
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
Lei Sun, Kailun Yang, Xinxin Hu +2
Semantic segmentation has made striking progress due to the success of deep convolutional neural networks. Considering the demands of autonomous driving, real-time semantic segment…
Universal Semantic Segmentation for Fisheye Urban Driving Images
Yaozu Ye, Kailun Yang, Kaite Xiang +2
Semantic segmentation is a critical method in the field of autonomous driving. When performing semantic image segmentation, a wider field of view (FoV) helps to obtain more informa…