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Alternative transportation services for urban commuters expand with car subscription services. Car subscription services give drivers access to cars without ownership for a relatively longer time period (e.g., months) than other sharing economy ...
Marcin Szamatowicz, Joshua Paundra
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Development case study of the first estonian self-driving car, iseauto
The rapid development of intelligent control technology has also brought about changes in the automotive industry and led to development of autonomous or self-driving vehicles. To overcome traffic and environment issues, self-driving cars use a number of
Rassõlkin Anton +2 more
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The development of technology in the transportation sector at this time is increasingly crucial. So the company innovates to create a car that can run itself with a high level of security. In this study, we designed an autonomous drive system for a 1:10
Kelvin Kristian Roestamadji +3 more
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Highly Curved Lane Detection Algorithms Based on Kalman Filter
The purpose of the self-driving car is to minimize the number casualties of traffic accidents. One of the effects of traffic accidents is an improper speed of a car, especially at the road turn.
Byambaa Dorj +2 more
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PurposeSelf-driving cars are an extremely high level of autonomous technology and represent a promising technology that may help older adults safely maintain independence.
Ericka Rovira +3 more
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Autonomous driving is the main application of Internet of Things (IoT) technology in the field of intelligent transportation. In autonomous driving, self-driving cars will avoid changing lanes in a short distance.
Kaifeng Gao +3 more
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The Great Age of the Car is on Its Way
Contrary to some transport scientists, we are convinced that the passenger car has a great future ahead of it. On the one hand, economic growth in many countries will boost car density, i. e. more people will be able to afford their own car. For another,
Ferdinand Dudenhöffer
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A Filter Pruning Method of CNN Models Based on Feature Maps Clustering
The convolutional neural network (CNN) has been widely used in the field of self-driving cars. To satisfy the increasing demand, the deeper and wider neural network has become a general trend.
Zhihong Wu +5 more
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Self-Driving Cars and Driver Alertness
12 pages.
Nguyen Hoang Tran, Abhaya C. Nayak
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Object and Lane Detection Technique for Autonomous Car Using Machine Learning Approach
The main objective of this work is to develop a perception algorithm for self-driving cars which is based on pure vision data or camera data. The work is divided into two major parts.
Muthalagu Raja +3 more
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