Pedestrian Protection Systems: Issues, Survey, and Challenges

By Tarak Gandhi, Mohan Manubhai Trivedi. IEEE transactions on intelligent transportation systems (Print), 2007

596 citations recorded by the source corpus.

Subfields: Automotive Engineering, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/309a9f17ed711663bd6c18cb15fcba9dcd731f49

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Computer Vision and Pattern Recognition

In Safety, Risk, Reliability and Quality

Citations in the corpus

Monocular Pedestrian Detection: Survey and Experiments (2009, background): “Gandhi and Trivedi [20] focus on the pedestrian protection application in the intelligent vehicle domain.”
A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance (2008, background): “This type of analysis would be quite popular in the intelligent transportation field, specifically for pedestrian safety [91].”
Video-Based Abnormal Human Behavior Recognition—A Review (2012, background): “tems [38]–[40], transit applications [31], while others are more general.”
Pedestrian Detection: An Evaluation of the State of the Art (2012, background): “For an overview of how detectors are incorporated into full automotive systems that utilize stereo, scene geometry, tracking, or other imaging modalities (e.g., [30], [38], [39], [40], [41]), we refer readers to [2], [42], [43].”
Data-Driven Intelligent Transportation Systems: A Survey (2011, background): “For a more comprehensive review of research on pedestrian detection and protection, see [38], [42], and [43].”
Social signal processing: Survey of an emerging domain (2009, background): “Also automatic posture recognition has been addressed in few works, mostly aiming at surveillance [57] and activity recognition [206] (See [54][116][153] for extensive overviews of the past work in the field).”
Computer vision and deep learning techniques for pedestrian detection and tracking: A survey (2018, background): “In [23] and [24] , the authors have discussed two surveys focused on pedestrian detection and tracking systems related to the Pedestrian Protection Systems (PPSs).”
Survey of Pedestrian Detection for Advanced Driver Assistance Systems (2010, methodology): “Unlike [11], this paper focuses on the techniques used in PPSs, rather than on general pedestrian safety.”
Update or wait: How to keep your data fresh (2016, background): “s updates are also critical in network-based monitoring and control systems, including sensor networks used in temperature and air pollution monitoring [1], surround monitoring in autonomous vehicles [2], and phasor data updates in power grid stabilization systems [3]. A common need in these applica”