3 citations · 8 across the 7 of their papers we have counts for
7 papers
Dense Dual-Path Network for Real-time Semantic Segmentation
Xinneng Yang, Yan Wu, Junqiao Zhao +1
Semantic segmentation has achieved remarkable results with high computational cost and a large number of parameters. However, real-world applications require efficient inference sp…
Real-time Multi-target Path Prediction and Planning for Autonomous Driving aided by FCN
Hongtu Zhou, Xinneng Yang, Enwei Zhang +4
Real-time multi-target path planning is a key issue in the field of autonomous driving. Although multiple paths can be generated in real-time with polynomial curves, the generated…
VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View
Yan Wu, Tao Yang, Junqiao Zhao +2
The automatic parking is being massively developed by car manufacturers and providers. Until now, there are two problems with the automatic parking. First, there is no openly-avail…
TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China
Junqiao Zhao, Chen Ye, Yan Wu +16
TiEV is an autonomous driving platform implemented by Tongji University of China. The vehicle is drive-by-wire and is fully powered by electricity. We devised the software system o…
Semantic Segmentation via Highly Fused Convolutional Network with Multiple Soft Cost Functions
Tao Yang, Yan Wu, Junqiao Zhao +1
Semantic image segmentation is one of the most challenged tasks in computer vision. In this paper, we propose a highly fused convolutional network, which consists of three parts: f…
Contractive De-noising Auto-encoder
Fu-qiang Chen, Yan Wu, Guo-dong Zhao +3
Auto-encoder is a special kind of neural network based on reconstruction. De-noising auto-encoder (DAE) is an improved auto-encoder which is robust to the input by corrupting the o…