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A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data
Usually, such data imbalance issues are addressed by data resampling methods, such as under-sampling and over-sampling techniques.
Salient Bundle Adjustment for Visual SLAM
Recently, the philosophy of visual saliency and attention has started to gain popularity in the robotics community.
Saliency Prediction
Robotics
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas
Visual odometry (VO) is a prevalent way to deal with the relative localization problem, which is becoming increasingly mature and accurate, but it tends to be fragile under challenging environments.
A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation
Cooperative overtaking is believed to have the capability of improving road safety and traffic efficiency by means of the real-time information exchange between traffic participants, including road infrastructures, nearby vehicles and others.
A feature-supervised generative adversarial network for environmental monitoring during hazy days
First, pairs of hazy and clean images are used as inputs to supervise the encoding process and obtain high-quality feature maps.
