Book ChapterDOI
Intuition-Based Autonomous Vehicle System
Manish Kumar Singh,M. P. Gopinath,S. L. Aarthy +2 more
- pp 89-95
TLDR
This paper has focussed on the application in which the vehicle system knows the shortest route between the two destinations and follow this route based on its intuition from the surrounding to take further direction or not.Abstract:
In the modern era, the vehicles are made for the comfort of the humans and the automation of the vehicle focusses on the safety and comfort of the humans by giving them relaxing time. In the field of automobile industries, technological progress are taking place to a greater extent and to make a vehicle automated various aspects have to be taken into consideration. In this paper, we have focussed on the application in which the vehicle system knows the shortest route between the two destinations and follow this route based on its intuition from the surrounding to take further direction or not. The idea described in this paper has somewhat been taken from Google Car, i.e. Dynamic routing. This can be done using the neural network in which a method of intuition is applied and an artificial brain is to be integrated into the system that decides the shortest path through which one can reach its destination and follow that path based on its data that it collected from the surroundings. Since taking any intelligent decisions in the traffic is also an issue for the automated vehicle system. This aspect has been taken into consideration in this paper.read more
References
More filters
Proceedings ArticleDOI
DeepTest: automated testing of deep-neural-network-driven autonomous cars
TL;DR: DeepTest is a systematic testing tool for automatically detecting erroneous behaviors of DNN-driven vehicles that can potentially lead to fatal crashes and systematically explore different parts of the DNN logic by generating test inputs that maximize the numbers of activated neurons.
Journal ArticleDOI
Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents
TL;DR: In this paper, the authors investigated user acceptance, worries, and willingness to buy partially, highly, and fully automated vehicles by means of a 63-question Internet-based survey, collected 5,000 responses from 109 countries (40 countries with at least 25 respondents).
Journal ArticleDOI
Public opinion on automated driving: results of an international questionnaire among 5000 respondents
TL;DR: In this article, the authors investigated user acceptance, concerns, and willingness to buy partially, highly, and fully automated vehicles by means of a 63-question Internet-based survey, and collected 5000 responses from 109 countries (40 countries with at least 25 respondents).
Journal ArticleDOI
The challenges of partially automated driving
TL;DR: Car automation promises to free the authors' hands from the steering wheel but might demand more from their minds, so what does that mean for us?
Proceedings ArticleDOI
Autonomous driving: investigating the feasibility of car-driver handover assistance
TL;DR: The evaluation shows that car-driver handovers prompted by multimodal (auditory and visual) warnings are a promising strategy to compensate for system boundaries of autonomous vehicles.