17 citations · 18 across the 6 of their papers we have counts for
6 papers
Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement
Cheng Jie, Chen Yingbing, Zhang Qingwen +2
Real-time kinodynamic trajectory planning in dynamic environments is critical yet challenging for autonomous driving. In this letter, we propose an efficient trajectory planning sy…
Channel Self-Supervision for Online Knowledge Distillation
Shixiao Fan, Xuan Cheng, Xiaomin Wang +5
Recently, researchers have shown an increased interest in the online knowledge distillation. Adopting an one-stage and end-to-end training fashion, online knowledge distillation us…
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition
M. Usman Maqbool Bhutta, Yuxiang Sun, Darwin Lau +1
Deep learning-based image retrieval techniques for the loop closure detection demonstrate satisfactory performance. However, it is still challenging to achieve high-level performan…
A New Continuous Optimization Method for Mixed Integer Space Travelling Salesman Problem
Liqiang Hou, Shufan Wu, Zhongcheng Mu +1
The travelling salesman problem (TSP) of space trajectory design is complicated by its complex structure design space. The graph based tree search and stochastic seeding combinator…
FocusedDropout for Convolutional Neural Network
Tianshu Xie, Minghui Liu, Jiali Deng +3
In convolutional neural network (CNN), dropout cannot work well because dropped information is not entirely obscured in convolutional layers where features are correlated spatially…
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
Rui Fan, Mohammud Junaid Bocus, Yilong Zhu +5
Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers.…