Deep learning-based pedestrian detection in autonomous vehicles: Substantial issues and challenges
In recent years, autonomous vehicles have become more and more popular due to their
broad influence over society, as they increase passenger safety and convenience, lower fuel …
broad influence over society, as they increase passenger safety and convenience, lower fuel …
A literature review on the prediction of pedestrian behavior in urban scenarios
The ability to anticipate pedestrian actions on streets is a safety issue for intelligent cars and
has increasingly drawn the attention of the automotive industry. Estimating when …
has increasingly drawn the attention of the automotive industry. Estimating when …
[HTML][HTML] Application of various yolo models for computer vision-based real-time pothole detection
Pothole repair is one of the paramount tasks in road maintenance. Effective road surface
monitoring is an ongoing challenge to the management agency. The current pothole …
monitoring is an ongoing challenge to the management agency. The current pothole …
Vision‐based vehicle speed estimation: A survey
D Fernández Llorca… - IET Intelligent …, 2021 - Wiley Online Library
The need to accurately estimate the speed of road vehicles is becoming increasingly
important for at least two main reasons. First, the number of speed cameras installed …
important for at least two main reasons. First, the number of speed cameras installed …
Pedestrian path, pose, and intention prediction through gaussian process dynamical models and pedestrian activity recognition
RQ Mínguez, IP Alonso… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
According to several reports published by worldwide organizations, thousands of
pedestrians die in road accidents every year. Due to this fact, vehicular technologies have …
pedestrians die in road accidents every year. Due to this fact, vehicular technologies have …
LSTM-based SQL injection detection method for intelligent transportation system
Q Li, F Wang, J Wang, W Li - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Intelligent transportation is an emerging technology that integrates advanced sensors,
network communication, data processing, and automatic control technologies to provide …
network communication, data processing, and automatic control technologies to provide …
Pedestrian models for autonomous driving Part I: low-level models, from sensing to tracking
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
[PDF][PDF] Trustworthy autonomous vehicles
D Fernández Llorca, E Gómez - Publications Office of the European Union …, 2021 - invett.es
This report aims to advance the discussion on those fundamental aspects to be considered
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …
in order to have trustworthy Artificial Intelligence (AI) systems in the Automated/Autonomous …
Edge‐enhanced matching for gradient‐based computer vision displacement measurement
Computer vision‐based displacement measurement for structural monitoring has grown
popular. However, tracking natural low‐contrast targets in low‐illumination conditions is …
popular. However, tracking natural low‐contrast targets in low‐illumination conditions is …
Cooperative traffic signal assistance system for non-motorized users and disabilities empowered by computer vision and edge artificial intelligence
Abstract Information and communication technology has many promising benefits including
improvement the traffic network capacity, efficiency, and stability. However, to date, most of …
improvement the traffic network capacity, efficiency, and stability. However, to date, most of …