27 citations · 44 across the 4 of their papers we have counts for
4 papers · 1 filter
Multi-Class Lane Semantic Segmentation using Efficient Convolutional Networks
Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan +1
Lane detection plays an important role in a self-driving vehicle. Several studies leverage a semantic segmentation network to extract robust lane features, but few of them can dist…
DSNet: An Efficient CNN for Road Scene Segmentation
Ping-Rong Chen, Hsueh-Ming Hang, Sheng-Wei Chan +1
Road scene understanding is a critical component in an autonomous driving system. Although the deep learning-based road scene segmentation can achieve very high accuracy, its compl…
Efficient Road Lane Marking Detection with Deep Learning
Ping-Rong Chen, Shao-Yuan Lo, Hsueh-Ming Hang +2
Lane mark detection is an important element in the road scene analysis for Advanced Driver Assistant System (ADAS). Limited by the onboard computing power, it is still a challenge…
Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation
Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan +1
Real-time semantic segmentation plays an important role in practical applications such as self-driving and robots. Most semantic segmentation research focuses on improving estimati…