Results 51 to 60 of about 5,995,737 (191)

Merging self-driving cars with the law [PDF]

open access: yesComputer Law & Security Review, 2018
Abstract Self-driving cars are gradually being introduced in the United States and in several Member States of the European Union. Policymakers will thus have to make important choices regarding the application of the law. One important aspect relates to the question who should be held liable for the damage caused by such vehicles.
Jan De Bruyne, Jarich Werbrouck
openaire   +3 more sources

Hybrid Resilient Framework for Self-Driving Car

open access: yesIEEE Access
Self-driving cars are expected to become a convenient source of transportation in near future. However, achieving a self-driving car at Level 5 still poses challenges.
Junaid M. Qurashi   +5 more
doaj   +1 more source

Applications of Deep Learning Techniques for Pedestrian Detection in Smart Environments: A Comprehensive Study

open access: yesJournal of Advanced Transportation, 2021
Intelligent transportation systems have been very well received by car companies, people, and governments around the world. The main challenge in the world of smart and self-driving cars is to identify obstacles, especially pedestrians, and take action ...
Fen He   +5 more
doaj   +1 more source

Status and influencing factors of preschool child car passenger safety behaviors: an online survey among parents of kindergarten children in a district of Beijing

open access: yesZhongguo gonggong weisheng, 2023
ObjectiveTo examine car passenger safety behaviors and its associates among preschool children in a district of Beijing. MethodsUsing stratified cluster sampling and a self-designed questionnaire, we conducted an online anonymous survey among parents of ...
Chao HE   +6 more
doaj   +1 more source

Key Ingredients of Self-Driving Cars

open access: yesCoRR, 2019
5 pages, 2 figures, EUSIPCO 2019 Satellite Workshop: Signal Processing, Computer Vision and Deep Learning for Autonomous ...
Rui Fan 0001   +5 more
openaire   +2 more sources

Intelligent Intrusion Detection of Grey Hole and Rushing Attacks in Self-Driving Vehicular Networks

open access: yesComputers, 2016
Vehicular ad hoc networks (VANETs) play a vital role in the success of self-driving and semi self-driving vehicles, where they improve safety and comfort.
Khattab M. Ali Alheeti   +2 more
doaj   +1 more source

Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes

open access: yesApplied Artificial Intelligence
We propose probabilistic logic factored Markov decision processes (PL-fMDPs) as a behavior selection scheme for self-driving cars. Probabilistic logic combines logic programming with probability theory to achieve clear, rule-based knowledge descriptions ...
Héctor Avilés   +6 more
doaj   +1 more source

Integration of autonomous vehicles and Industry 4.0; pp. 389–394 [PDF]

open access: yesProceedings of the Estonian Academy of Sciences, 2019
The current trend of automation and manufacturing is digitalization called Industry 4.0. The digitalization is not only the manufacturing process upgrade but also logistics and intelligent transport solutions.
Raivo Sell   +3 more
doaj   +1 more source

Analyzing Self-Driving Cars on Twitter

open access: yesCoRR, 2018
This paper studies users' perception regarding a controversial product, namely self-driving (autonomous) cars. To find people's opinion regarding this new technology, we used an annotated Twitter dataset, and extracted the topics in positive and negative tweets using an unsupervised, probabilistic model known as topic modeling. We later used the topics,
Rizwan Sadiq, Mohsin Khan
openaire   +2 more sources

Self Driving Car in a Constrained Environment

open access: yes, 2022
The purpose of the research is to build a machine learning model which can drive a car on the tracks of Udacity’s Car simulator without any human intervention. This is achieved by mimicking the human driving behaviour in the training mode on a track. A dataset is generated by the simulator based on the human driving behaviour in the training mode and a
B. Harish, Durairaj Thenmozhi
openaire   +2 more sources

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