Obstacle detection of rail transit based on deep learning

An integrated optimization model of metro energy consumption based on regenerative energy and passenger transfer

(2020) Deqiang He et al.   APPLIED ENERGY

A Survey on Theories and Applications for Self-Driving Cars Based on Deep Learning Methods

(2020) Jianjun Ni et al.   Applied Sciences-Basel

Application of fuzzy predictive control technology in automatic train operation

(2018) Yuan Cao et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Effective and Efficient Detection of Moving Targets From a UAV’s Camera

(2018) Sara Minaeian et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Image annotation: Then and now

(2018) P.K. Bhagat et al.   IMAGE AND VISION COMPUTING

Effects of sampling interval on the frequency - magnitude relationship of rockfalls detected from terrestrial laser scanning using semi-automated methods

(2017) Megan van Veen et al.   Landslides

Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection

(2017) Jihun Kim et al.   NEURAL NETWORKS

AdaBoost-based artificial neural network learning

(2017) Mirza M. Baig et al.   NEUROCOMPUTING

Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

(2015) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep learning

(2015) Yann LeCun et al.   NATURE

Social Network Services for Rail Traffic Applications

(2014) Bo Ai et al.   IEEE INTELLIGENT SYSTEMS

Vision meets robotics: The KITTI dataset

(2013) A Geiger et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Efficient railway tracks detection and turnouts recognition method using HOG features

(2012) Zhiquan Qi et al.   NEURAL COMPUTING & APPLICATIONS

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION