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Automobiles

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Key Technology of Real-Time Road Navigation Method Based on Intelligent Data Research.

Computational intelligence and neuroscience
The effect of traffic flow prediction plays an important role in routing selection. Traditional traffic flow forecasting methods mainly include linear, nonlinear, neural network, and Time Series Analysis method. However, all of them have some shortco...

Minimalistic optic flow sensors applied to indoor and outdoor visual guidance and odometry on a car-like robot.

Bioinspiration & biomimetics
Here we present a novel bio-inspired optic flow (OF) sensor and its application to visual  guidance and odometry on a low-cost car-like robot called BioCarBot. The minimalistic OF sensor was robust to high-dynamic-range lighting conditions and to var...

Towards social autonomous vehicles: Efficient collision avoidance scheme using Richardson's arms race model.

PloS one
This paper presents the concept of a social autonomous agent to conceptualize such Autonomous Vehicles (AVs), which interacts with other AVs using social manners similar to human behavior. The presented AVs also have the capability of predicting inte...

Detection of concealed cars in complex cargo X-ray imagery using Deep Learning.

Journal of X-ray science and technology
BACKGROUND: Non-intrusive inspection systems based on X-ray radiography techniques are routinely used at transport hubs to ensure the conformity of cargo content with the supplied shipping manifest. As trade volumes increase and regulations become mo...

Pavement type and wear condition classification from tire cavity acoustic measurements with artificial neural networks.

The Journal of the Acoustical Society of America
Tire road noise is the major contributor to traffic noise, which leads to general annoyance, speech interference, and sleep disturbances. Standardized methods to measure tire road noise are expensive, sophisticated to use, and they cannot be applied ...

Attributing Agency to Automated Systems: Reflections on Human-Robot Collaborations and Responsibility-Loci.

Science and engineering ethics
Many ethicists writing about automated systems (e.g. self-driving cars and autonomous weapons systems) attribute agency to these systems. Not only that; they seemingly attribute an autonomous or independent form of agency to these machines. This lead...

The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity.

Science and engineering ethics
Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence (AI) applications. Allegations of racism and sexism have permeated the conversation as stories surface about search engines deliver...

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States.

Proceedings of the National Academy of Sciences of the United States of America
The United States spends more than $250 million each year on the American Community Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race, gender, education, occupation, unemployment, and other demographic facto...

Self-Driving Cars and Engineering Ethics: The Need for a System Level Analysis.

Science and engineering ethics
The literature on self-driving cars and ethics continues to grow. Yet much of it focuses on ethical complexities emerging from an individual vehicle. That is an important but insufficient step towards determining how the technology will impact human ...