Matches in SemOpenAlex for { <https://semopenalex.org/work/W4284886908> ?p ?o ?g. }
- W4284886908 endingPage "105095" @default.
- W4284886908 startingPage "105095" @default.
- W4284886908 abstract "Smart traffic engineering and intelligent transportation services are in increasing demand from governmental authorities to optimize traffic performance and thus reduce energy costs, increase the drivers' safety and comfort, ensure traffic laws enforcement, and detect traffic violations. In this paper, we address this challenge, and we leverage the use of Artificial Intelligence (AI) and Unmanned Aerial Vehicles (UAVs) to develop an AI-integrated video analytics framework, called TAU (Traffic Analysis from UAVs), for automated traffic analytics and understanding. Unlike previous works on traffic video analytics, we propose an automated object detection and tracking pipeline from video processing to advanced traffic understanding using high-resolution UAV images. TAU combines six main contributions. First, it proposes a pre-processing algorithm to adapt the high-resolution UAV image as input to the object detector without lowering the resolution. This ensures an excellent detection accuracy from high-quality features, particularly the small size of detected objects from UAV images. Second, it introduces an algorithm for recalibrating the vehicle coordinates to ensure that vehicles are uniquely identified and tracked across the multiple crops of the same frame. Third, it presents a speed calculation algorithm based on accumulating information from successive frames. Fourth, TAU counts the number of vehicles per traffic zone based on the Ray Tracing algorithm. Fifth, TAU has a fully independent algorithm for crossroad arbitration based on the data gathered from the different zones surrounding it. Sixth, TAU introduces a set of algorithms for extracting twenty-four types of insights from the raw data collected. The code is shared here: https://github.com/bilel-bj/TAU. Video demonstrations are provided here: https://youtu.be/wXJV0H7LviU and here: https://youtu.be/kGv0gmtVEbI." @default.
- W4284886908 created "2022-07-09" @default.
- W4284886908 creator A5014758459 @default.
- W4284886908 creator A5018592446 @default.
- W4284886908 creator A5034196986 @default.
- W4284886908 creator A5042123158 @default.
- W4284886908 creator A5042485009 @default.
- W4284886908 creator A5085663479 @default.
- W4284886908 date "2022-09-01" @default.
- W4284886908 modified "2023-10-03" @default.
- W4284886908 title "TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems" @default.
- W4284886908 cites W1967878059 @default.
- W4284886908 cites W1972619302 @default.
- W4284886908 cites W1979770060 @default.
- W4284886908 cites W2011563353 @default.
- W4284886908 cites W2029309869 @default.
- W4284886908 cites W2036079818 @default.
- W4284886908 cites W2049425931 @default.
- W4284886908 cites W2067216953 @default.
- W4284886908 cites W2109788955 @default.
- W4284886908 cites W2116515448 @default.
- W4284886908 cites W2130522119 @default.
- W4284886908 cites W2132744778 @default.
- W4284886908 cites W2162566158 @default.
- W4284886908 cites W2252355370 @default.
- W4284886908 cites W2299288249 @default.
- W4284886908 cites W2517499003 @default.
- W4284886908 cites W2559692636 @default.
- W4284886908 cites W2568684198 @default.
- W4284886908 cites W2576886744 @default.
- W4284886908 cites W2581656627 @default.
- W4284886908 cites W2793872863 @default.
- W4284886908 cites W2966535964 @default.
- W4284886908 cites W2987703048 @default.
- W4284886908 cites W2988916019 @default.
- W4284886908 cites W3004969510 @default.
- W4284886908 cites W3007348959 @default.
- W4284886908 cites W3011097756 @default.
- W4284886908 cites W3016889634 @default.
- W4284886908 cites W3086271189 @default.
- W4284886908 cites W3105672835 @default.
- W4284886908 cites W3122939190 @default.
- W4284886908 cites W3138476267 @default.
- W4284886908 cites W3166176762 @default.
- W4284886908 cites W3200044668 @default.
- W4284886908 cites W4210697906 @default.
- W4284886908 doi "https://doi.org/10.1016/j.engappai.2022.105095" @default.
- W4284886908 hasPublicationYear "2022" @default.
- W4284886908 type Work @default.
- W4284886908 citedByCount "10" @default.
- W4284886908 countsByYear W42848869082023 @default.
- W4284886908 crossrefType "journal-article" @default.
- W4284886908 hasAuthorship W4284886908A5014758459 @default.
- W4284886908 hasAuthorship W4284886908A5018592446 @default.
- W4284886908 hasAuthorship W4284886908A5034196986 @default.
- W4284886908 hasAuthorship W4284886908A5042123158 @default.
- W4284886908 hasAuthorship W4284886908A5042485009 @default.
- W4284886908 hasAuthorship W4284886908A5085663479 @default.
- W4284886908 hasBestOaLocation W42848869082 @default.
- W4284886908 hasConcept C111919701 @default.
- W4284886908 hasConcept C115901376 @default.
- W4284886908 hasConcept C124101348 @default.
- W4284886908 hasConcept C127413603 @default.
- W4284886908 hasConcept C138673069 @default.
- W4284886908 hasConcept C153083717 @default.
- W4284886908 hasConcept C154945302 @default.
- W4284886908 hasConcept C202474056 @default.
- W4284886908 hasConcept C31972630 @default.
- W4284886908 hasConcept C41008148 @default.
- W4284886908 hasConcept C65483669 @default.
- W4284886908 hasConcept C78519656 @default.
- W4284886908 hasConcept C79158427 @default.
- W4284886908 hasConcept C79403827 @default.
- W4284886908 hasConceptScore W4284886908C111919701 @default.
- W4284886908 hasConceptScore W4284886908C115901376 @default.
- W4284886908 hasConceptScore W4284886908C124101348 @default.
- W4284886908 hasConceptScore W4284886908C127413603 @default.
- W4284886908 hasConceptScore W4284886908C138673069 @default.
- W4284886908 hasConceptScore W4284886908C153083717 @default.
- W4284886908 hasConceptScore W4284886908C154945302 @default.
- W4284886908 hasConceptScore W4284886908C202474056 @default.
- W4284886908 hasConceptScore W4284886908C31972630 @default.
- W4284886908 hasConceptScore W4284886908C41008148 @default.
- W4284886908 hasConceptScore W4284886908C65483669 @default.
- W4284886908 hasConceptScore W4284886908C78519656 @default.
- W4284886908 hasConceptScore W4284886908C79158427 @default.
- W4284886908 hasConceptScore W4284886908C79403827 @default.
- W4284886908 hasFunder F4320327702 @default.
- W4284886908 hasLocation W42848869081 @default.
- W4284886908 hasLocation W42848869082 @default.
- W4284886908 hasOpenAccess W4284886908 @default.
- W4284886908 hasPrimaryLocation W42848869081 @default.
- W4284886908 hasRelatedWork W2073477885 @default.
- W4284886908 hasRelatedWork W2187444443 @default.
- W4284886908 hasRelatedWork W2363019469 @default.
- W4284886908 hasRelatedWork W2385949326 @default.
- W4284886908 hasRelatedWork W2740242884 @default.
- W4284886908 hasRelatedWork W3158328920 @default.