An automated driving systems data acquisition and analytics platform
In this paper, an automated driving system (ADS) data acquisition and analytics platform for
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …
Infrastructure-based object detection and tracking for cooperative driving automation: A survey
Object detection and tracking play a fundamental role in enabling Cooperative Driving
Automation (CDA), which is regarded as the revolutionary solution to addressing safety …
Automation (CDA), which is regarded as the revolutionary solution to addressing safety …
Procuring cooperative intelligence in autonomous vehicles for object detection through data fusion approach
A Daniel, K Subburathinam… - IET Intelligent …, 2020 - Wiley Online Library
In an autonomous vehicle (AV), in order to efficiently exploit the acquired resources, big data
analyses will be a reliable source for extracting valuable information from various sensors …
analyses will be a reliable source for extracting valuable information from various sensors …
Moving object detection and tracking based on interaction of static obstacle map and geometric model-free approachfor urban autonomous driving
H Lee, J Yoon, Y Jeong, K Yi - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Detection and tracking of moving objects (DATMO) in an urban environment using Light
Detection and Ranging (LiDAR) is a major challenge for autonomous vehicles due to sparse …
Detection and Ranging (LiDAR) is a major challenge for autonomous vehicles due to sparse …
Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication
Employing Vehicle-to-Vehicle communication to enhance perception performance in self-
driving technology has attracted considerable attention recently; however, the absence of a …
driving technology has attracted considerable attention recently; however, the absence of a …
Sensor fusion in autonomous vehicle with traffic surveillance camera system: detection, localization, and AI networking
Complete autonomous systems such as self-driving cars to ensure the high reliability and
safety of humans need the most efficient combination of four-dimensional (4D) detection …
safety of humans need the most efficient combination of four-dimensional (4D) detection …
Leveraging deep convolutional neural networks pre-trained on autonomous driving data for vehicle detection from roadside LiDAR data
Recent technological advancements in computer vision algorithms and data acquisition
devices have greatly facilitated the research and applications of deep learning-based traffic …
devices have greatly facilitated the research and applications of deep learning-based traffic …
A deep learning-based hybrid framework for object detection and recognition in autonomous driving
As a key technology of intelligent transportation system, the intelligent vehicle is the carrier
of comprehensive integration of many technologies. Although vision-based autonomous …
of comprehensive integration of many technologies. Although vision-based autonomous …
Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
A traffic surveillance system for obtaining comprehensive information of the passing vehicles based on instance segmentation
B Zhang, J Zhang - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
The vehicle information acquired by current video-based traffic surveillance methods is
usually onefold. In this paper, a traffic surveillance system for obtaining comprehensive …
usually onefold. In this paper, a traffic surveillance system for obtaining comprehensive …