12 citations · 35 across the 26 of their papers we have counts for
6 papers · 1 filter
Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking
Yewei Huang, Junqiao Zhao, Xudong He +2
In this paper, we proposed a novel and practical solution for the real-time indoor localization of autonomous driving in parking lots. High-level landmarks, the parking slots, are…
DLO: Direct LiDAR Odometry for 2.5D Outdoor Environment
Lu Sun, Junqiao Zhao, Xudong He +1
For autonomous vehicles, high-precision real-time localization is the guarantee of stable driving. Compared with the visual odometry (VO), the LiDAR odometry (LO) has the advantage…
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…
Automatic Vector-based Road Structure Mapping Using Multi-beam LiDAR
Xudong He, Junqiao Zhao, Lu Sun +4
In this paper, we studied a SLAM method for vector-based road structure mapping using multi-beam LiDAR. We propose to use the polyline as the primary mapping element instead of gri…
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…