The concept of affordances appeared in psychology during the late 60s, as an alternative perspective on the visual perception of the environment. More precisely, the term affordances was introduced by J. J. Gibson in ...
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The concept of affordances appeared in psychology during the late 60s, as an alternative perspective on the visual perception of the environment. More precisely, the term affordances was introduced by J. J. Gibson in 1966 [items 1)-3) of the Appendix]. Gibson defines the affordances of an object as “what it offers the animal, what it provides or furnishes, either for good or ill.” What the objects afford to the agent are action possibilities that are directly perceived through vision, in a precategorical and subconscious way, without the need to construct a fully detailed model of the world or to perform semantic reasoning or explicit object recognition. Central to Gibson’s theory is the notion that the sensorimotor capabilities of the agent dramatically influence perception: the concept of affordances is “something that refers to both the environment and the animal in a way that no existing term does. It implies the complementarity of the animal and the environment.” Notably, the human ability to perceive affordances emerges gradually during development, and it is the outcome of exploratory and observational learning; as this ability appears, predicting the effects of the actions becomes possible as well, eventually leading to problem solving skills.
The Internet of Drones (IoD) is a multi-layered, control architecture to regulate and coordinate the navigation of Unmanned Aerial Vehicles (UAV) in a shared public airspace. UAVs have the potential to be employed in ...
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ISBN:
(数字)9781728109626
ISBN:
(纸本)9781728109633
The Internet of Drones (IoD) is a multi-layered, control architecture to regulate and coordinate the navigation of Unmanned Aerial Vehicles (UAV) in a shared public airspace. UAVs have the potential to be employed in public space for purposes like surveillance, monitoring, package delivery, emergency services, etc. For proper operation, an efficient path planning among IoD is required so that they can adaptively decide their path for data dissemination. Most of the existing solutions for this problem have made unreasonable assumptions and do not offer scalability. The scheme proposed in the paper provides a network architecture for the scalable solution of UAVs in an urban environment addressing issues of path planning, safety, privacy, and network connectivity. The scheme has been tested using exhaustive simulation and results prove that the proposed scheme is efficient in terms of reducing the overall cost and delivery time with the increasing weight of payload in the drones.
Autonomous driving is an emerging technology attracting interests from various sectors in recent *** of existing work treats autonomous vehicles as isolated individuals and has focused on developing separate intellige...
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Autonomous driving is an emerging technology attracting interests from various sectors in recent *** of existing work treats autonomous vehicles as isolated individuals and has focused on developing separate intelligent *** this paper,we attempt to exploit the connectivity among vehicles and propose a systematic framework to develop autonomous driving *** first introduce a general hierarchical information fusion framework for cooperative sensing to obtain global situational awareness for *** this,a cooperative intelligence framework is proposed for autonomous driving *** general framework can guide the development of data collection,sharing and processing strategies to realize different intelligent functions in autonomous driving.
Carnatic music is replete with continuous pitch movement called gamakas and can be viewed as consisting of constant-pitch notes (CPNs) and transients. The stationary points (STAs) of transients – points where the pit...
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In this paper, we propose a highly practical fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an input. The proposed method is based on the Gaussian mixture ...
Deep learning techniques hold promise to improve dense topography reconstruction and pose estimation, as well as simultaneous localization and mapping (SLAM). However, currently available datasets do not support effec...
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In the field of large-scale SLAM for autonomous driving and mobile robotics, 3D point cloud based place recognition has aroused significant research interest due to its robustness to changing environments with drastic...
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This paper addresses the problem of bearing-only formation control in d (d ≥ 2)-dimensional space by exploring persistence of excitation (PE) of the desired bearing reference. By defining a desired formation that is ...
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