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- Ardö, Håkan, et al.
(författare)
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Reduced Search Space for Rapid Bicycle Detection
- 2013
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Ingår i: [Host publication title missing]. - : SciTePress - Science and and Technology Publications.
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Konferensbidrag (refereegranskat)abstract
- This paper describes a solution to the application of rapid detection of bicycles in low resolution video. In particular, the application addressed is from video recorded in a live environment. The future aim from the results in this paper is to investigate a full year of video data. Hence, processing speed is of great concern. The proposed solution involves the use of an object detector and a search space reduction method based on prior knowledge regarding the application at hand. The method using prior knowledge utilizes random sample consensus, and additional statistical analysis on detection outputs, in order to define a reduced search space. It is experimentally shown that, in the application addressed, it is possible to reduce the full search space by 62% with the proposed methodology. This approach, which employs a full detector in combination with the design of a simple and fast model that can capture prior knowledge for a specific application, leads to a reduced search space and thereby a significantly improved processing speed.
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- Ardö, Håkan, et al.
(författare)
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Superpixel based road user tracker
- 2014
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Abstract A superpixel based tracker is tested on the two Tracking sequences from PDTV [7], Minsk and Sherbrooke. It detects all vehicles from the Minsk dataset although a few of them are splitted. The pedestrians are too small and thus all missed. The results for the Sherbrooke are not as good, especially in the areas far way from the camera where the intersection s viewed at a low angle. Also the sign in the foreground causes misses.
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- Bjørnskau, Torkel, et al.
(författare)
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Game over for automated vehicles?
- 2022
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Konferensbidrag (refereegranskat)abstract
- Trials with automated mini buses (AV shuttles) are going on in many cities. According to game-theoretic reasoning, in mixed traffic normal road users will soon take advantage of the defensive driving style of the AV shuttles, and may eventually totally block their accessibility (Camara et al., 2018; Michieli & Badia, 2018; Millard-Ball, 2018). So far there are few studies on the interaction between AV shuttles and ordinary road users. The present study is probably the first to look at changes in interaction patterns with AV shuttles in real traffic over time, making it possible to empirically test the predictions based on game theory.
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- Laureshyn, Aliaksei, et al.
(författare)
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Automated video analysis as a tool for analysing road user behaviour
- 2006
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Ingår i: Proceedings of ITS World Congress, London, 8-12 October 2006.
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Konferensbidrag (refereegranskat)abstract
- At Lund University an automated video analysis system is being developed that can be applied for studying the behaviour of road users in complex traffic environments. It is stressed that system must be capable of handling all the categories of road users, i.e. vehicles, pedestrians and cyclists. Common problems like detection and tracking of moving objects, occlusion by foreground objects, ground-plane co-ordinates estimation, smoothing of the scattered data and estimation of speed and acceleration profiles are discussed and some solution proposed.
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- Laureshyn, Aliaksei, et al.
(författare)
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Exploration of a method to validate surrogate safety measures with a focus on vulnerable road users
- 2017
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Ingår i: Proceedings of the Road Safety & Simulation International Conference, 17-19 October 2017.
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Konferensbidrag (refereegranskat)abstract
- Abstract Background. Traditional crash-based analysis of road safety at individual sites has its shortcomings due to low numbers and the random nature of crashes at individual sites and the related statistical issues, as well as the under-reporting of crashes and lack of information on contributing factors and the process preceding crashes. To get around the problem, road safety analysis based on surrogate measures of safety, i.e. not based on crashes, can be used. However, the question whether surrogate measures are valid indicators for safety remains unanswered and only a few attempts have actually been made to carry out proper large-scale validation studies. Aim. This work presents a methodological approach for a large-scale validation study of surrogate safety indicators focusing on vulnerable road users. With only one site analyzed so far, it presents the exploration of the data and of the performance of the technical tools used in the study. Method. Video-filming and consequent video analysis are used to measure the surrogate safety indicators. In the first step, the video is “condensed” using a watchdog software RUBA that selects situations with an encounter of a cyclist or pedestrian and a motor vehicle. At a later stage, the trajectories of the individual road users are produced using a semi-automated tool T-Analyst and several surrogate safety indicators are tested to set a severity score for an encounter. The performance of the surrogate indicators will be compared to the expected number of accidents at each site and availability of the data for developing a safety performance function (SPF) that is country-, manoeuvreand type of VRU-specific are explored. Results & Conclusion. From methodological perspective, limited accident data available seriously complicates building a reliable SPF (“ground truth”) against which the surrogate safety measures could be validated; some other, “indirect” methods of validation might be required. We present also the performance of the software tools and applicability of the various surrogate safety indicators that were tested.
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