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Found 7 papers, 1 papers with code
Dynamic Conditional Imitation Learning for Autonomous Driving
Our experiments showed that our model improved consistency against weather conditions by four times and autonomous driving success rate generalization by 52%.
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation
LiDARs and cameras are the two main sensors that are planned to be included in many announced autonomous vehicles prototypes.
Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection
Face Presentation Attack Detection (PAD) has drawn increasing attentions to secure the face recognition systems that are widely used in many applications.
Deep convolutional neural networks for face and iris presentation attack detection: Survey and case study
Specifically, we investigate the effectiveness of fine tuning very deep convolutional neural networks to the task of face and iris antispoofing.
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks
The World Health Organization (WHO) reported 1. 25 million deaths yearly due to road traffic accidents worldwide and the number has been continuously increasing over the last few years.
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies
Steering a car through traffic is a complex task that is difficult to cast into algorithms.
Real-time Distracted Driver Posture Classification
In this paper, we present a new dataset for "distracted driver" posture estimation.
