顶点 发表于 2025-3-25 05:29:48
https://doi.org/10.1007/978-90-481-8978-6 method, and gives examples and various applications for each method. Material is provided to support a decision for an appropriate object detection technique for computer vision applications, including driver-assistance systems.条街道往前推 发表于 2025-3-25 08:51:10
http://reply.papertrans.cn/24/2341/234078/234078_22.pngFORGO 发表于 2025-3-25 12:24:29
Object Detection, Classification, and Tracking, method, and gives examples and various applications for each method. Material is provided to support a decision for an appropriate object detection technique for computer vision applications, including driver-assistance systems.公理 发表于 2025-3-25 17:45:10
http://reply.papertrans.cn/24/2341/234078/234078_24.png托人看管 发表于 2025-3-25 21:07:33
Gerda Neyer,Gunnar Andersson,Hill Kuluon and to indirectly support our eye-state monitoring system. Experimental results obtained for the MIT-CMU dataset, Yale dataset, and our recorded videos and comparisons with standard Haar-like detectors show noticeable improvements compared to previous methods.angina-pectoris 发表于 2025-3-26 01:19:48
Driver Drowsiness Detection,on and to indirectly support our eye-state monitoring system. Experimental results obtained for the MIT-CMU dataset, Yale dataset, and our recorded videos and comparisons with standard Haar-like detectors show noticeable improvements compared to previous methods.喃喃诉苦 发表于 2025-3-26 07:11:28
http://reply.papertrans.cn/24/2341/234078/234078_27.png敌手 发表于 2025-3-26 11:51:42
http://reply.papertrans.cn/24/2341/234078/234078_28.pngCAPE 发表于 2025-3-26 15:34:33
The Future of Health Demography,bove information. The ultimate goal is to prevent a traffic accident by fusing all the existing “in-out” data from inside the car cockpit and outside on the road. We aim to warn the driver in case of high-risk driving conditions and to prevent an imminent crash.使出神 发表于 2025-3-26 18:28:03
Vehicle Detection and Distance Estimation,d information to reach a higher degree of certainty. The proposed algorithm is able to detect vehicles ahead both at day and night, and also for a wide range of distances. Experimental results under various conditions, including sunny, rainy, foggy, or snowy weather, show that the proposed algorithm