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Automobiles

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The impact of co-pilot displays use on driver workload and driving performance exploring the impact of co-pilot display on drivers' workload and driving performance.

Applied ergonomics
New production vehicles equipped with multiple screens have various functions and technologies at the user's fingertips that create informative and immersive cockpits not only for the driver but also for the passenger. Despite the growing popularity ...

Vehicle Driving Risk Prediction Model by Reverse Artificial Intelligence Neural Network.

Computational intelligence and neuroscience
The popularity of private cars has brought great convenience to citizens' travel. However, the number of private cars in society is increasing yearly, and the traffic pressure on the road is also increasing. The number of traffic accidents is increas...

Improving Misfire Fault Diagnosis with Cascading Architectures via Acoustic Vehicle Characterization.

Sensors (Basel, Switzerland)
In a world dependent on road-based transportation, it is essential to understand automobiles. We propose an acoustic road vehicle characterization system as an integrated approach for using sound captured by mobile devices to enhance transparency and...

Characterisation of urban environment and activity across space and time using street images and deep learning in Accra.

Scientific reports
The urban environment influences human health, safety and wellbeing. Cities in Africa are growing faster than other regions but have limited data to guide urban planning and policies. Our aim was to use smart sensing and analytics to characterise the...

A Study on Object Detection Performance of YOLOv4 for Autonomous Driving of Tram.

Sensors (Basel, Switzerland)
Recently, autonomous driving technology has been in the spotlight. However, autonomous driving is still in its infancy in the railway industry. In the case of railways, there are fewer control elements than autonomous driving of cars due to the chara...

An Optimization-Based Motion Planner for Car-like Logistics Robots on Narrow Roads.

Sensors (Basel, Switzerland)
Thanks to their strong maneuverability and high load capacity, car-like robots with non-holonomic constraints are often used in logistics to improve efficiency. However, it is difficult to plan a safe and smooth optimal path in real time on the restr...

Intrusion Detection in IoT Using Deep Learning.

Sensors (Basel, Switzerland)
Cybersecurity has been widely used in various applications, such as intelligent industrial systems, homes, personal devices, and cars, and has led to innovative developments that continue to face challenges in solving problems related to security met...

An object detection algorithm combining self-attention and YOLOv4 in traffic scene.

PloS one
Automobile intelligence is the trend for modern automobiles, of which environment perception is the key technology of intelligent automobile research. For autonomous vehicles, the detection of object information, such as vehicles and pedestrians in t...

Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks.

Sensors (Basel, Switzerland)
Predictive maintenance in the car industry is an active field of research for machine learning and anomaly detection. The capability of cars to produce time series data from sensors is growing as the car industry is heading towards more connected and...

Acceptance and Usability of a Soft Robotic, Haptic Feedback Seat for Autonomy Level Transitions in Highly Automated Vehicles.

IEEE transactions on haptics
Fully autonomous vehicles, capable of completing entire end-to-end journeys without the interference of a human driver, will be one of the biggest transforming technologies of the next decades. As the journey towards fully autonomous vehicles progres...