Defining camera-based traffic scenarios and use cases for the visually impaired by means of expert interviews

Jakob, Judith; Kugele, Kordula; Tick, József

doi:10.1109/informatics.2017.8327234

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…The suggested lane detection used the Edge Distribution Function (EDF). Instead of applying the EDF to the whole image as in Lee's ADAS work [18], we first divided the image into subimages of increasing sizes from bottom to top. Afterwards, interpolation of the angles and analysis of the according function returned the course of the road.…”

Section: Discussionmentioning

confidence: 99%

“…In order to gather the needs of visually impaired people in traffic situations, we conducted qualitative interviews with experts and members of the target group using Witzel's method of problem-centered interviews [34]. The results of the expert interviews are presented in [18] and [20]; a common evaluation of both interview types is not published yet. The evaluation of the interviews is presented in the form of tables, adapted from Sommerville's software engineering book [30], describing the six identified traffic scenarios: (1) General orientation, (2) navigating to an address, (3) crossing a road, (4) obstacle avoidance, (5) boarding a bus, and (6) at the train station.…”

Section: Previous Workmentioning

confidence: 99%

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Camera-based On-Road Detections for the Visually Impaired

Jakob¹,

Tick²

2020

ACTA POLYTECH HUNG

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Herein, we research the possibilities of assisting visually impaired pedestrians moving in traffic situations by using camera-based detection of relevant objects in their immediate surroundings. Therefore, we use and adapt algorithms from the field of driver assistance. We present a road background segmentation based on watersheds, whose results are used as input for the presented crosswalk and lane detection algorithms. The crosswalk detection is based on the application of two 1D mean filters and the lane detection on local computations of the EDF (Edge Distribution Function). In our evaluation, the described algorithms achieved good hit rates of 99.87% (road segmentation), 98.64% (crosswalk detection), and 97.89% (lane detection).

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Section: Discussionmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

Camera-based On-Road Detections for the Visually Impaired

Jakob¹,

Tick²

2020

ACTA POLYTECH HUNG

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“…We describe the traffic scenarios we extracted from the interviews with the before mentioned scenario tables. For social insights we gained from the interviews concerning age, gender, degree of impairment, and affinity for technology, we refer to [10].…”

Section: Current Situation Of Visually Im-paired Road Usersmentioning

confidence: 99%

Traffic Scenarios and Vision Use Cases for the Visually Impaired

Jakob¹,

Tick²

2018

AEI

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We gather the requirements visually impaired road users have concerning a camera-based assistive system in order to develop a concept for transferring algorithms from Advanced Driver Assistance Systems (ADAS) to this domain. We therefore combine procedures from software engineering, especially requirements engineering, with methods from qualitative social sciences, namely expert interviews by means of problem-centered interview methodology. The evaluation of the interviews results in a total of six traffic scenarios, that are of interest for the assistance of visually impaired road users, clustered into three categories: orientation, pedestrian and public transport scenarios. From each scenario, we derive use cases based on computer vision and state which of them are also addressed in ADAS so that we can examine them further in the future to formulate the transfer concept. We present a general literature review concerning solutions from ADAS for the identified overlapping use cases from both fields and take a closer look on how to adapt ADAS Lane Detection algorithms to the assistance of the visually impaired.

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CoPeD: Comparable Pedestrian Driver Data Set for Traffic Scenarios

Jakob

Tick

2018

2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)

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Defining camera-based traffic scenarios and use cases for the visually impaired by means of expert interviews

Cited by 6 publications

References 26 publications

Camera-based On-Road Detections for the Visually Impaired

Camera-based On-Road Detections for the Visually Impaired

Traffic Scenarios and Vision Use Cases for the Visually Impaired

CoPeD: Comparable Pedestrian Driver Data Set for Traffic Scenarios

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