Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Jo, Byung-Wan; Lee, Yun Sung; Kim, Jung Hoon; Kim, Do Keun; Choi, Pyung Ho

doi:10.3390/su9081488

Cited by 43 publications

(44 citation statements)

References 39 publications

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“…A lack of situation awareness has been listed as one of the bigger causes of accidents in safetycritical situations [7]. Studies on how to support operators' awareness show that safety-enhancing systems, for example collision avoidance systems, can assist operators while carrying out their tasks [8,9]. However, having to look away in order to obtain the information can result in an increased risk of incidents.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness

Wallmyr

Sitompul

Holstein

et al. 2019

Human-Computer Interaction – INTERACT 2019

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Operating heavy vehicles, for instance an excavator, requires a high level of attention to the operation done using the vehicle and awareness of the surroundings. Digital transformation in heavy vehicles aims to improve productivity and user experience, but it can also increase the operators mental load because of a higher demand of attention to instrumentation and controls, subsequently leading to reduced situation awareness. One way to mitigate this, is to display information within the operators' field of view, which enhances information detectability through quick glances, using mixed reality interfaces. This work explores two types of mixed reality visualizations and compares them to a traditional display setup in a simulated excavator environment. We have utilized eye-tracking glasses to study users' attention to the task, surrounding awareness, and interfaces, followed by a NASA-RTLX questionnaire to evaluate the users' reported mental workload. The results indicate benefits for the mixed reality approaches, with lower workload ratings together with an improved rate in detection of presented information.

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Section: Introductionmentioning

confidence: 99%

Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness

Wallmyr

Sitompul

Holstein

et al. 2019

Human-Computer Interaction – INTERACT 2019

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“…Safety systems applied to excavators can be also found easily. RFID technology has been used to prevent collision accidents [31,32]. Teizer mainly used radio frequency (RF), light detection and ranging (LIDAR), and position data to implement an autonomous proactive real-time system [33].…”

Section: Literature Reviewmentioning

confidence: 99%

Creation of One Excavator as an Obstacle in C-Space for Collision Avoidance during Remote Control of the Two Excavators Using Pose Sensors

et al. 2020

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Many solutions about the teleoperation of unmanned robotic excavators have been studied continuously. However, if excavators that are remotely controlled were employed, the probability of an accident would be higher. For this reason, there have been many ways proposed to attempt to reduce accidents in these dangerous situations. In this paper, a novel methodology will be introduced with a focus on the multiple excavators themselves. The proposed method details how one excavator can be generated or expressed as an obstacle in the Configuration-Space (C-space) with respect to another excavator’s side for collision avoidance each other. This method is based on kinematics information which is measurable and given. Therefore, this method can be used or applied independently by using widely used pose sensors and wireless communication devices. The phase of mathematical derivation about obstacle sets is described in detail. The results are shown in accompanying figures and tables for demonstrating that the proposed method detected the proximity and found the collision-free zone accurately. The proposed system can be powerful when applied to a teleoperation system, where it would be particularly useful and helpful to the operator.

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“…They operate best in open-pit mine environments. RFID PWSs are the 2 of most commonly used commercially available PWSs, as they can recognize both near and far objects using ultra-high frequency and very-low frequency signals [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Smart Glasses-Based Personnel Proximity Warning System for Improving Pedestrian Safety in Construction and Mining Sites

Baek

Choi

2020

IJERPH

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A smart glasses-based wearable personnel proximity warning system (PWS) was developed for pedestrian safety in construction and mining sites. The smart glasses receive signals transmitted by Bluetooth beacons attached to heavy equipment or vehicles, with the proximity determined by the signal strength. A visual alert is displayed to the wearer when in close proximity. The media access control address of the Bluetooth beacon provides information on the approaching equipment or vehicle, which is displayed to the wearer so that they can respond appropriately. There was a detection distance of at least 10 m regardless of the direction the pedestrian was looking and the alert was successful in all 40 trials at ≥10 meters. The subjective workload was evaluated using the NASA task load index on ten subjects, either without a personal PWS, with a smartphone-based PWS, or with the smart glasses-based PWS. The mental, temporal, and physical stresses were lowest when using the smart glasses-based PWS. Smart glasses-based PWSs can improve work efficiency by freeing both hands of the pedestrians, and various functions can be supported through application development. Therefore, they are particularly useful for pedestrian safety in construction and mining sites.

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Proximity Warning and Excavator Control System for Prevention of Collision Accidents

Cited by 43 publications

References 39 publications

Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness

Evaluating Mixed Reality Notifications to Support Excavator Operator Awareness

Creation of One Excavator as an Obstacle in C-Space for Collision Avoidance during Remote Control of the Two Excavators Using Pose Sensors

Smart Glasses-Based Personnel Proximity Warning System for Improving Pedestrian Safety in Construction and Mining Sites

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