Results 151 to 160 of about 821,735 (196)
Some of the next articles are maybe not open access.

Autonomous Car Chasing

2020
We developed an autonomous driving system that can chase another vehicle using only images from a single RGB camera. At the core of the system is a novel dual-task convolutional neural network simultaneously performing object detection as well as coarse semantic segmentation. The system was firstly tested in CARLA simulations.
Pavel Jahoda, Jan Cech, Jiri Matas
openaire   +2 more sources

Traffic Mapping for Autonomous Cars

2018 IEEE Intelligent Vehicles Symposium (IV), 2018
Today’s car traffic is dominated by human drivers. Autonomous cars must comprehend the behavior of human drivers in order to fit in current daily traffic scenarios. To achieve this goal, analysis of the behavior of other traffic participants is necessary.
Nicolai Steinke   +3 more
openaire   +2 more sources

Dashboard Design for an Autonomous Car

Adjunct Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2014
In a fully autonomous car - steering, deceleration and acceleration are completely controlled by the intelligence built into it. This leads to a major change in user experience as the driver needs different information and is less involved in the driving itself.
Nikhil Gowda, Wendy Ju, Kirstin Kohler
openaire   +1 more source

On the instrumentation and classification of autonomous cars

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
Car makers are toward for the new generation of cars that tend to be more autonomous as possible without the driver intervention being considered such as part of the intelligent transportation systems. In fact, autonomous cars tend to have an increasing ability to autonomously drive themselves, potentially reducing accidents and traffic congestion ...
Betina Carol Zanchin   +3 more
openaire   +1 more source

Autonomous Cars: Challenges and Opportunities

IT Professional, 2019
We are witnessing an evolution in the automotive industry. Recent technological advances and fast proliferation of technologies are accelerating the development of smarter vehicles, including autonomous cars. The authors analyze the state-of-the-art results of autonomous cars, identifying the main stakeholders and their role in their success or failure.
Juan Contreras-Castillo   +2 more
openaire   +2 more sources

Development of an Autonomous RC-car

2013
In this paper we tackle the development of a robotic-car with hardware control, lane detection, mapping, localization and path planning capabilities. We aim for a completely independent, reliable and robust system that can traverse a single lane track bordered by white lines on an optimal path. To detect the track boundaries, we implement two different
Daniel Claes   +4 more
openaire   +2 more sources

Issues about autonomous cars

2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2016
The Autonomous car is a complex topic, different technical fields like: Automotive engineering, Control engineering, Informatics, Artificial Intelligence etc. are involved in solving the human driver replacement with an artificial (agent) driver. The problem is even more complicated because usually, nowadays, having and driving a car defines our ...
Claudiu Pozna, Csaba Antonya
openaire   +1 more source

Autonomous cars in science fiction

Science Robotics, 2020
We view autonomous cars just like the ones in science fiction, and that could be a problem.
openaire   +2 more sources

Autonomous Driving Car Competition

2019
This paper presents the construction of an autonomous robot to participating in the autonomous driving competition of the National Festival of Robotics in Portugal, which relies on an open platform requiring basic knowledge of robotics, like mechanics, control, computer vision and energy management.
João Pedro Alves   +4 more
openaire   +2 more sources

MCC-EKF for Autonomous Car Security

2020 Fourth IEEE International Conference on Robotic Computing (IRC), 2020
This work attempts to answer two problems. (1) Can we use the odometry information from two different Simultaneous Localization And Mapping (SLAM) algorithms to get a better estimate of the odometry? and (2) What if one of the SLAM algorithms gets affected by shot noise or by attack vectors, and can we resolve this situation?
Ashutosh Singandhupe, Hung Manh La
openaire   +2 more sources

Home - About - Disclaimer - Privacy