R. Maity, Jivthesh M R, Pralay Sankar Maitra, Sanjeevi G, Gaushik M R, Sai Shibu N B, K. U. Menon
{"title":"通过人工智能检测V2X环境中的行人和动物,最大限度地提高公路安全","authors":"R. Maity, Jivthesh M R, Pralay Sankar Maitra, Sanjeevi G, Gaushik M R, Sai Shibu N B, K. U. Menon","doi":"10.1109/WiSPNET57748.2023.10134307","DOIUrl":null,"url":null,"abstract":"Road accidents involving pedestrians and animals can have serious consequences for all parties involved. These types of accidents can occur when pedestrians or animals cross the road and can often be caused by poor visibility, driver distractions, or a lack of appropriate safety measures. In many cases, these accidents can be prevented by implementing measures such as pedestrian crossings and wildlife crossings, as well as by educating drivers about the importance of paying attention to their surroundings and being alert to pedestrians and animals on or near the road. We can work towards a safer and more efficient transportation system for all road users by taking steps to prevent these types of accidents. This paper proposes an AI-enabled pedestrian and animal detection architecture for V2X-enabled highways. The proposed system leverages AI to detect pedestrians and animals on the road and then transmit this information to other road users using the existing V2X Communication protocol available on the highways. The paper also explains the algorithm to detect animals and pedestrians using AI. We envision that the proposed system will reduce road accidents and save lives.","PeriodicalId":150576,"journal":{"name":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Maximising Highway Safety through AI-enabled Detection of Pedestrians and Animals in V2X Environments\",\"authors\":\"R. Maity, Jivthesh M R, Pralay Sankar Maitra, Sanjeevi G, Gaushik M R, Sai Shibu N B, K. U. Menon\",\"doi\":\"10.1109/WiSPNET57748.2023.10134307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Road accidents involving pedestrians and animals can have serious consequences for all parties involved. These types of accidents can occur when pedestrians or animals cross the road and can often be caused by poor visibility, driver distractions, or a lack of appropriate safety measures. In many cases, these accidents can be prevented by implementing measures such as pedestrian crossings and wildlife crossings, as well as by educating drivers about the importance of paying attention to their surroundings and being alert to pedestrians and animals on or near the road. We can work towards a safer and more efficient transportation system for all road users by taking steps to prevent these types of accidents. This paper proposes an AI-enabled pedestrian and animal detection architecture for V2X-enabled highways. The proposed system leverages AI to detect pedestrians and animals on the road and then transmit this information to other road users using the existing V2X Communication protocol available on the highways. The paper also explains the algorithm to detect animals and pedestrians using AI. We envision that the proposed system will reduce road accidents and save lives.\",\"PeriodicalId\":150576,\"journal\":{\"name\":\"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WiSPNET57748.2023.10134307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WiSPNET57748.2023.10134307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maximising Highway Safety through AI-enabled Detection of Pedestrians and Animals in V2X Environments
Road accidents involving pedestrians and animals can have serious consequences for all parties involved. These types of accidents can occur when pedestrians or animals cross the road and can often be caused by poor visibility, driver distractions, or a lack of appropriate safety measures. In many cases, these accidents can be prevented by implementing measures such as pedestrian crossings and wildlife crossings, as well as by educating drivers about the importance of paying attention to their surroundings and being alert to pedestrians and animals on or near the road. We can work towards a safer and more efficient transportation system for all road users by taking steps to prevent these types of accidents. This paper proposes an AI-enabled pedestrian and animal detection architecture for V2X-enabled highways. The proposed system leverages AI to detect pedestrians and animals on the road and then transmit this information to other road users using the existing V2X Communication protocol available on the highways. The paper also explains the algorithm to detect animals and pedestrians using AI. We envision that the proposed system will reduce road accidents and save lives.