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In previous works, we have proposed a new method for Collision Risk Estimation (CRE) based on Pearson's Correlation Coefficient (PCC) as a simple solution to improve the performance of a real-time navigation system. In this paper, we tested the CRE under different situations of an object in front of the vehicle and compared it with a real distance measured from the Velodyne 3D laser scanner.
Energy limitation is one of the most important challenges. Many applications are being developed and one important aspect is the excess of information, frequently redundant, that imposes a great computational cost in data processing and consequently power consummation. Management of all power resources is therefore important for intelligent vehicles and mobile robots. In previous works, we have proposed...
Ground wheeled autonomous robots like driverless cars are examples of applications which would assist humans on different tasks. From an explicit or emerging need, these systems have come to replace or assist drivers. Estimating the position is a primary function for intelligent vehicle navigation. Different existing solutions use high-end sensors. This paper proposes to augment the autonomy level...
The design of the robotic vehicle VILMA at UNICAMP is developed in-vehicle platform Fiat Punto. In addition to a set of sensors, actuators, mechanism and components (hardware and/or software), new technologies should be developed in support of Automation, Control, Perception, Localization and Navigation. This work presents the design and simulation of path tracking control using model predictive control...
Camera-based estimation of drivable image areas is still in evolution. These systems have been developed for improved safety and convenience, without the need to adapt itself to the environment. Machine Vision is an important tool to identify the region that includes the road in images. Road detection is the major task of autonomous vehicle guidance. In this way, this work proposes a drivable region...
Autonomous robots have motivated researchers from different groups due to the challenge that it represents. Many applications for control of autonomous platform are being developed and one important aspect is the excess of information, frequently redundant, that imposes a great computational cost in data processing. Taking into account the temporal coherence between consecutive frames, we have proposed...
Camera-based estimation of drivable image areas is still in evolution. These systems have been developed for improved safety and convenience, without the need to adapt itself to the environment. Machine Vision is an important tool to identify the region that includes the road in images. Road detection is the major task of autonomous vehicle guidance. In this way, this work proposes a drivable region...
The perception of the environment is a major issue in autonomous robots. In our previous works, we have proposed a visual perception system based on an automatic image discarding method as a simple solution to improve the performance of a real-time navigation system. In this paper, we take place in the obstacle avoidance context for vehicles in dynamic and unknown environments, and we propose a new...
Environment perception is a major research issue which is very important in the field of robotic system. In order to identify the horizon line and the drivable region, we have proposed a visual-perception system based on an automatic image discarding method as a simple solution to improve the system performance. In this paper, all these previous methods are organized in a visual-perception layer which...
Navigation of an Autonomous Vehicle is based on its interaction with the environment, through information acquired by sensors. The perception of the environment is a major issue in autonomous and (semi)-autonomous systems. This work presents the embedded real-time visual perception problem applied to experimental platform. In this way, a robust horizon finding algorithm that finds the horizon line...
An autonomous robotic platform should be able to perform long-range and long-endurance missions, which energy limitation is one of the most important challenges. Studies show that motion is not the only power consumer. Management of all power resources is therefore important for these systems. Moreover, many applications for control of autonomous platform are being developed and one important aspect...
Navigation of a Mobile Robot is based on its interaction with the environment through information acquired by sensors. Particularly for Mobile Robot navigation in unknown environment, the type and number of sensors determines the data volume necessary to process and compose the image from the environment. Nevertheless, the excess of information imposes a great computational cost in data processing...
Lately, many applications for control of autonomous vehicles are being developed and one important aspect is the excess of information, frequently redundant, that imposes a great computational cost in data processing. Based on the fact that real-time navigation systems could have their performance compromised by the need of processing all this redundant information (all images acquired by a vision...
Navigation of a mobile robot is based on its interaction with the environment, through information acquired by sensors. By incorporating several kinds of sensors in autonomous vehicles, it is possible to improve their autonomy and "intelligence", specially regarding mobile robot navigation in unknown environment. The type and number of sensors determines the data volume necessary for the...
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