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Related Concept Videos

Perception01:28

Perception

499
Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
499
Perceptual Constancy01:12

Perceptual Constancy

429
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
429
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
700
Parallel Processing01:20

Parallel Processing

173
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
173
Factors Affecting Perception01:25

Factors Affecting Perception

1.6K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
1.6K
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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Updated: Jul 15, 2025

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects
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Collaborative Perception-The Missing Piece in Realizing Fully Autonomous Driving.

Sumbal Malik1,2, Muhammad Jalal Khan1,2, Manzoor Ahmed Khan1,2

  • 1College of Information Technology, United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
Summary
This summary is machine-generated.

Collaborative perception (CP) enhances driving automation by enabling vehicles and infrastructure to share data, overcoming limitations of single-vehicle systems. This study reviews CP

Keywords:
C-V2Xcollaborative autonomous drivingcollaborative perceptionevolved RSUfusion

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Area of Science:

  • Intelligent Transportation Systems (ITS)
  • Autonomous Driving (AD)

Background:

  • Single-vehicle perception systems face limitations due to restricted fields of view and occlusions.
  • Collaborative Perception (CP) emerges as a solution to enhance situational awareness in complex traffic environments.

Purpose of the Study:

  • To comprehensively review the transition from classical to collaborative perception for advanced driving automation.
  • To highlight the need for evolved CP to address challenges hindering Level 5 AD use cases.

Main Methods:

  • Review of perception strategies at vehicle and infrastructure levels.
  • Analysis of communication technologies and CP message-sharing models.
  • Comparison of CP models based on data accuracy and communication bandwidth trade-offs.

Main Results:

  • CP leverages V2V and V2I communication to extend perception beyond line-of-sight and field-of-view.
  • Identified trade-offs between data accuracy and communication bandwidth in different CP models.
  • Highlighted existing challenges and future research directions for CP.

Conclusions:

  • Collaborative perception is essential for achieving higher levels of driving automation.
  • Further research is needed to overcome challenges in CP for widespread adoption of autonomous vehicles.