Results 21 to 30 of about 821,735 (196)

Internet of Things in Self-driving Cars Environment [PDF]

open access: yesInterdisciplinary Description of Complex Systems, 2023
The development of Self-Driving cars has had two main approaches, the vehicle as an individual object, allowing it to perceive the environment and react to it, and seeing it as part of an autonomous system (smart city) where the environment is ...
César Bautista, Gyula Mester
doaj   +1 more source

ON ARCHITECTURE OF AUTONOMOUS (DRIVERLESS) CARS AND INFRASTRUCTURE FOR THEIR OPERATION

open access: yesСовременные информационные технологии и IT-образование, 2018
The article is devoted to the architecture of autonomous (unmanned) vehicles, as well as the infrastructure for their operation. Automated vehicles have great potential to transform our lives, create smart cities and ensure efficiency in transporting ...
Oleg N. Pokusaev   +2 more
doaj   +1 more source

How to Apply Civil Liability to Users and Vehicles in Self-Driving Car Accidents [PDF]

open access: yesFaṣlnāmah-i Pizhūhish-i Huqūq-i Khuṣūṣī, 2023
Traditionally, the driver of the car is responsible for the damages caused by the accident. In self-driving and semi-autonomous cars, the term driver has either lost its meaning or has been diluted.
Nahid Parsa
doaj   +1 more source

ON WORLD MARKET OF AUTONOMOUS (DRIVERLESS) CARS

open access: yesСовременные информационные технологии и IT-образование, 2018
This article is devoted to the review of the world market of unmanned vehicles. It is noted that the global automotive market is now showing two key trends. This is electric mobility (replacement of batteries in electric vehicles with fuel cells) and the
Oleg N. Pokusaev   +3 more
doaj   +1 more source

ASSESSING THE DEVELOPMENT OF AUTONOMOUS CARS [PDF]

open access: yesTransport Problems
With recent innovations regarding autonomous vehicles and the fact that several vehicle brands have started to deploy autonomous driving functionalities, it is still unknown what these innovations may offer to social lives.
Tiago PRATA   +3 more
doaj   +1 more source

A LiDAR Architecture Based on Indirect ToF For Autonomous Cars

open access: yesJournal of Microwaves, Optoelectronics and Electromagnetic Applications, 2021
A LiDAR architecture for autonomous cars is presented and validated by numerical and experimental results. The proposed scheme is based on indirect time-of-flight principle based on continuous-wave pseudorandom codes and incoherent detection for range ...
Luis G. Da Silva   +1 more
doaj   +1 more source

Mapping with an Autonomous Car

open access: yes, 2006
In this paper, we present an approach towards mapping and safe navigation in real, large-scale environments with an autonomous car. The goal is to enable the car to autonomously navigate on roads while avoiding obstacles and while simultaneously learning an accurate three-dimensional model of the environment.
P. LAMON   +8 more
openaire   +3 more sources

Autonomous Driving Road Environment Recognition with Multiscale Object Detection [PDF]

open access: yesE3S Web of Conferences
Ensuring precise perception of the surrounding road environment is crucial for the safe functioning of autonomous vehicles in the domain of autonomous driving. Using cutting-edge deep learning techniques, this research presents a novel way for autonomous
Jeny J.R.V.   +4 more
doaj   +1 more source

Simulation Study of Autonomous Vehicles’ Effect on Traffic Flow Characteristics including Autonomous Buses

open access: yesJournal of Advanced Transportation, 2020
Autonomous vehicles are expected to revolutionize the transportation industry. The goal of this research is to study the heterogeneity in traffic flow dynamics by comparing different penetration rates of four different types of vehicles: autonomous cars (
Tanveer Muhammad   +5 more
doaj   +1 more source

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars

open access: yesInformatics, 2022
Autonomous driving is a research field that has received attention in recent years, with increasing applications of reinforcement learning (RL) algorithms.
Martin Holen   +2 more
doaj   +1 more source

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