Results 21 to 30 of about 95,328 (314)
Virtual Scenario Simulation and Modeling Framework in Autonomous Driving Simulators
, 2021 Recently, virtual environment-based techniques to train sensor-based autonomous driving models have been widely employed due to their efficiency. However, a simulated virtual environment is required to be highly similar to its real-world counterpart to ...
Yunsick Sung +4 more
core +1 more source
Quantifying automated vehicle benefits in reducing driving stress: a simulation experiment approach
Frontiers in Future Transportation, 2023 Driving is a stressful activity because of the mental workload required to maneuver a vehicle in certain travel contexts, such as congested traffic, multi-modal networks requiring complex interaction with surrounding vehicles, and aggressive driving ...
Zulqarnain H. Khattak, Zhenhong Lin
doaj +1 more source
Map Validation for Autonomous Driving Systems [PDF]
, 2022 High-definition mapping is fundamental for self-driving vehicles. In this thesis we describe different approaches for online map validation whose goal is to verify if reality and map data are inconsistent.
Fabris, Andrea
core
Resolving conflict in decision-making for autonomous driving
, 2022 As technology improves, we are fast approaching a time when autonomous vehicles could become a common occurrence on the road. As a consequence of this, it will be necessary for autonomous vehicles to be able to coordinate with other road vehicles, both ...
Geary, Jack
core +1 more source
Research on driving behavior decision making system of autonomous driving vehicle based on benefit evaluation model [PDF]
Archives of Transport, 2020 Autonomous driving vehicle could increase driving efficiency, reduce traffic congestion and improve driving safety, it is considered as the solution of current traffic problems.
Pengwei Wang +4 more
doaj +1 more source
Visual processing for autonomous driving [PDF]
[1992] Proceedings IEEE Workshop on Applications of Computer Vision, 2003 Describes a visual processing algorithm that supports autonomous road following. The algorithm requires that lane markings be present and attempts to track the lane markings on both lane boundaries. There are three stages of computation: extracting edges; matching extracted edge points with a geometric model of the road, and updating the geometric road
Schneiderman, H., Nashman, M.
openaire +1 more source
Scene Understanding for Autonomous Driving
CoRR, 2021 To detect and segment objects in images based on their content is one of the most active topics in the field of computer vision. Nowadays, this problem can be addressed using Deep Learning architectures such as Faster R-CNN or YOLO, among others. In this paper, we study the behaviour of different configurations of RetinaNet, Faster R-CNN and Mask R-CNN
Òscar Lorente, Ian Riera, Aditya Rana
openaire +2 more sources
Contextual Based Attack Detection and Resiliency Policies for Autonomous Vehicles Platoons [PDF]
, 2023 openThe goal of this work is to implement resilience policies for Autonomous Vehicles under attack, based on the context in which the platoon is located.
COSTANTINI, LORENZO
core
An adaptive system for autonomous driving [PDF]
Software Quality Journal, 2020 AbstractHaving systems that can adapt themselves in case of faults or changing environmental conditions is of growing interest for industry and especially for the automotive industry considering autonomous driving. In autonomous driving, it is vital to have a system that is able to cope with faults in order to enable the system to reach a safe state ...
Martin Zimmermann 0007, Franz Wotawa
openaire +1 more source
Design anthropology for emerging technologies : Trust and sharing in autonomous driving futures
, 2020 In this article we demonstrate how design anthropology theory, methodology and practice can be mobilised to create interventions in how possible human futures with emerging technologies are understood and imagined.
Fors, Vaike, +4 more
core +1 more source