Evaluation of dynamic passive pedestrian detection

Larson, Travis; Wyman, Amy; Hurwitz, David; Dorado, Matt; Quayle, Shaun; Shetler, Stacy

doi:10.1016/j.trip.2020.100268

Cited by 7 publications

(12 citation statements)

References 3 publications

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“…For example, a pedestrian call extension for pedestrians entering the radar's observation area while the street is open for crossing. Though it is still better to have the observation area extended over a whole crosswalk for more reliable operation [20]. Our waiting pedestrian presence detection was also based on a fixed continuous observation time, which could be further studied as in [27].…”

Section: Discussionmentioning

confidence: 99%

“…An additional benefit of the proposed system is that it mitigates the need to touch the call button, which is especially important in times of epidemics, where touching a public surface might increase the possibility of infection. Using contactless detectors like one proposed in this paper or those described in [9,20,48], can contribute to slowing the spread of virulent diseases.…”

Section: Discussionmentioning

confidence: 99%

“…Still, by the very nature of video cameras, such systems remain susceptible to reduced performance in low light conditions and false detections due to changing light levels. Larson et al [20] have conducted an evaluation on pedestrian detection with optical sensors (video cameras) and thermal sensors (infrared cameras) and found that, in general, thermal sensors achieved higher detection accuracy than optical. As shown in Figure 2, the use of an infrared camera significantly improves visual detection in conditions where a regular video camera fails to do so.…”

Section: Pedestrian Detectionmentioning

confidence: 99%

“…For the reliable operation of traffic light controlling devices, participants need to be correctly identified and commonly need to have their position tracked within the observable area, mainly to avoid mis-triggering changes in traffic signalization [20].…”

Section: Pedestrian Tracking Algorithmsmentioning

confidence: 99%

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Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm

Nimac

Krpič²,

Batagelj

et al. 2022

Sensors

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The increased mobility requirements of modern lifestyles put more stress on existing traffic infrastructure, which causes reduced traffic flow, especially in peak traffic hours. This calls for new and advanced solutions in traffic flow regulation and management. One approach towards optimisation is a transition from static to dynamic traffic light intervals, especially in spots where pedestrian crossing cause stops in road traffic flow. In this paper, we propose a smart pedestrian traffic light triggering mechanism that uses a Frequency-modulated continuous-wave (FMCW) radar for pedestrian detection. Compared to, for example, camera-surveillance systems, radars have advantages in the ability to reliably detect pedestrians in low-visibility conditions and in maintaining privacy. Objects within a radar’s detection range are represented in a point cloud structure, in which pedestrians form clusters where they lose all identifiable features. Pedestrian detection and tracking are completed with a group tracking (GTRACK) algorithm that we modified to run on an external processor and not integrated into the used FMCW radar itself. The proposed prototype has been tested in multiple scenarios, where we focused on removing the call button from a conventional pedestrian traffic light. The prototype responded correctly in practically all cases by triggering the change in traffic signalization only when pedestrians were standing in the pavement area directly in front of the zebra crossing.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Pedestrian Detectionmentioning

confidence: 99%

Section: Pedestrian Tracking Algorithmsmentioning

confidence: 99%

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Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm

Nimac

Krpič²,

Batagelj

et al. 2022

Sensors

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“…This disruption can potentially lead to higher emissions and fuel consumption. Despite several studies investigating APVDSs [7][8][9][10], their impact on environment remains relatively unexplored.…”

Section: Introductionmentioning

confidence: 99%

Environmental Assessment of Incorrect Automated Pedestrian Detection and Common Pedestrian Timing Treatments at Signalized Intersections

Gavric,

Erdagi,

Stevanovic

2024

Sustainability

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Existing research has primarily focused on the accuracy of automated pedestrian detection systems, overlooking the consequential environmental impacts arising from false or missed pedestrian detections. To fill these research gaps, this study investigates the emissions and fuel consumption resulting from incorrect pedestrian detection at signalized intersections in microsimulation. To carry out experiments, the authors employ Vissim microsimulation software and the Comprehensive Modal Emission Model (CMEM). For the first time in the literature, missed and false calls are modeled in microsimulation and their environmental impacts are accurately measured. The research highlights the limitations of current automated pedestrian (video) detection systems (APVDSs) technologies in reducing emissions and fuel consumption effectively. While APVDSs offer potential benefits for traffic management, their inability to accurately detect pedestrians undermines their environmental efficacy. This study emphasizes the importance of considering environmental impacts of APVDSs, and challenges the belief that pedestrian recall treatment is the least eco-friendly. Also, the study showed that coupling APVDS or push-button treatments with pedestrian recycle features increases fuel consumption and CO2 by 10% at the intersections with higher pedestrian demand. By understanding the emissions and fuel consumption associated with incorrect detections, transportation agencies can make more informed decisions regarding the implementation and improvement of APVDS technologies.

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Application of smart technologies in safety of vulnerable road users: A review

Shohel Parvez,

Moridpour

2024

International Journal of Transportation Science and Technology

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Evaluation of dynamic passive pedestrian detection

Cited by 7 publications

References 3 publications

Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm

Pedestrian Traffic Light Control with Crosswalk FMCW Radar and Group Tracking Algorithm

Environmental Assessment of Incorrect Automated Pedestrian Detection and Common Pedestrian Timing Treatments at Signalized Intersections

Application of smart technologies in safety of vulnerable road users: A review

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