Global lessons learned from naturalistic driving studies to advance traffic safety and operation research: A systematic review
The state of practice of investigating traffic safety and operation is primarily based on
traditional data sources, such as spot sensors, loop detectors, and historical crash data …
traditional data sources, such as spot sensors, loop detectors, and historical crash data …
[HTML][HTML] Descriptive and conceptual structure of naturalistic driving study research: A computational literature review
Naturalistic driving studies (NDS) are an emerging method of collecting driving data from
drivers in instrumented vehicles undertaking everyday trips without experimental control. A …
drivers in instrumented vehicles undertaking everyday trips without experimental control. A …
Object detection and classification by decision-level fusion for intelligent vehicle systems
To understand driving environments effectively, it is important to achieve accurate detection
and classification of objects detected by sensor-based intelligent vehicle systems, which are …
and classification of objects detected by sensor-based intelligent vehicle systems, which are …
DepthCN: Vehicle detection using 3D-LIDAR and ConvNet
This paper addresses the problem of vehicle detection using Deep Convolutional Neural
Network (ConvNet) and 3D-LIDAR data with application in advanced driver assistance …
Network (ConvNet) and 3D-LIDAR data with application in advanced driver assistance …
Choosing smartly: Adaptive multimodal fusion for object detection in changing environments
Object detection is an essential task for autonomous robots operating in dynamic and
changing environments. A robot should be able to detect objects in the presence of sensor …
changing environments. A robot should be able to detect objects in the presence of sensor …
Refinenet: Refining object detectors for autonomous driving
RN Rajaram, E Ohn-Bar… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Highly accurate, camera-based object detection is an essential component of autonomous
navigation and assistive technologies. In particular, for on-road applications, localization …
navigation and assistive technologies. In particular, for on-road applications, localization …
Using kinect on an autonomous vehicle for outdoors obstacle detection
An accurate method to detect obstacles and dangerous areas is the key to the safe
performance of autonomous robots. Time of flight sensors can report their existence through …
performance of autonomous robots. Time of flight sensors can report their existence through …
Positioning, navigation, and book accessing/returning in an autonomous library robot using integrated binocular vision and QR code identification systems
With rapid advancements in artificial intelligence and mobile robots, some of the tedious yet
simple jobs in modern libraries, like book accessing and returning (BAR) operations that had …
simple jobs in modern libraries, like book accessing and returning (BAR) operations that had …
Using blockchain in autonomous vehicles
Autonomous vehicles have the potential to revolutionize the automotive industry and are
gaining immense attention from academia as well as industry. However, facets of …
gaining immense attention from academia as well as industry. However, facets of …
[HTML][HTML] Image Analysis in Autonomous Vehicles: A Review of the Latest AI Solutions and Their Comparison
The integration of advanced image analysis using artificial intelligence (AI) is pivotal for the
evolution of autonomous vehicles (AVs). This article provides a thorough review of the most …
evolution of autonomous vehicles (AVs). This article provides a thorough review of the most …