Abstract: This paper presents a method for optimizing reference tracks used as input by an autonomous vehicle. Given the track obtained by manual driving using a GPS sensor installed on the vehicle, an Evolutionary Strategy was used to improve the processing and tracking of autonomous driving. The algorithm solutions had results that were very similar to expert solutions
Since the potential of soft-computing for driver assistance systems has been recognized, much effort...
The matching of GPS received locations to roads is challenging. Traditional matching method is based...
The aim of this work is to present some alternatives to improve the performance of an Evolutionary A...
Driving tendency recognition is important for constructing Advanced Driver Assistance Systems (ADAS)...
Image Processing and computer vision has always been a major component in the field of robotics and ...
This paper describes an ant colony optimization approach adopted to decide on road-borders to automa...
This research project demonstrated the effectiveness of using evolutionary software techniques in th...
AbstractThis paper presents an implementation of an evolutionary algorithm to control a robot with a...
Autonomous navigation is a complex task that requires both sensing capabilities to react to sudden e...
Reinforcement learning schemes perform direct on-line search in control space. This makes them appro...
The advent of the digital innovation era is changing service, use, and resources management paradigm...
Abstract — Future driver assistance systems are likely to use a multisensor approach with heterogene...
Abstract — Future driver assistance systems are likely to use a multisensor approach with heterogene...
This paper presents an autonomous evolutionary system applied to control a mobile robot in unknown e...
Abstract. The techniques and the technologies supporting Automatic Vehicle Guidance are an important...
Since the potential of soft-computing for driver assistance systems has been recognized, much effort...
The matching of GPS received locations to roads is challenging. Traditional matching method is based...
The aim of this work is to present some alternatives to improve the performance of an Evolutionary A...
Driving tendency recognition is important for constructing Advanced Driver Assistance Systems (ADAS)...
Image Processing and computer vision has always been a major component in the field of robotics and ...
This paper describes an ant colony optimization approach adopted to decide on road-borders to automa...
This research project demonstrated the effectiveness of using evolutionary software techniques in th...
AbstractThis paper presents an implementation of an evolutionary algorithm to control a robot with a...
Autonomous navigation is a complex task that requires both sensing capabilities to react to sudden e...
Reinforcement learning schemes perform direct on-line search in control space. This makes them appro...
The advent of the digital innovation era is changing service, use, and resources management paradigm...
Abstract — Future driver assistance systems are likely to use a multisensor approach with heterogene...
Abstract — Future driver assistance systems are likely to use a multisensor approach with heterogene...
This paper presents an autonomous evolutionary system applied to control a mobile robot in unknown e...
Abstract. The techniques and the technologies supporting Automatic Vehicle Guidance are an important...
Since the potential of soft-computing for driver assistance systems has been recognized, much effort...
The matching of GPS received locations to roads is challenging. Traditional matching method is based...
The aim of this work is to present some alternatives to improve the performance of an Evolutionary A...
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