(2)DataSet: Bosch Small Traffic Lights Dataset (3)The results of conventional cv algorithm: (4)The results of faster r-cnn based on Tensorflow: (5)Reference: 1,Traffic Light Mapping and Detection 2,Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset 3,A Tl...
aJohnson also stressed the fact that both groups of countries added to the antitrade bias of their policies by varying the extent of their trade barriers so as to stabilize through time domestic prices and quantities of food. 约翰逊也强调了两个小组国家增加到他们的政策反信风偏心通过变化他们的贸易...
the dataset was processed for the analysis the correlation between the temporal delays of the airports based on the complex network theory. Afterwards, the Page
3,Traffic lights recognize: The traffic light recognition part mainly distinguishes the detected traffic lights by red, yellow and green colors. (2)DataSet: Bosch Small Traffic Lights Dataset (3)The results of conventional cv algorithm: (4)The results of faster r-cnn based on Tensorflow: ...
4.1. Dataset Description The dataset as shown in Table 1 contains data about intersections and their associated properties. The “INT ID” (Intersection Number) uniquely identifies each intersection. Different intersections in the dataset can be distinguished by this identifier. The names or labels for...
The V2X-Seq trajectory forecasting dataset (V2X-Seq TFD) comprises 210,000 scenarios, including 50,000 cooperative-view scenarios, all trajectories, and traffic lights, which are captured and generated from naturalistic driving scenarios [48]. This dataset contains 80,000 infrastructure-view scenarios...
while traffic lights have the lowest. After analyzing the dataset, we found that the number of yellow traffic lights was only 510, which is 1/200 of the number of vehicle labels, which affects the overall detection accuracy of the traffic lights. Meanwhile, the traffic lights in the images ...
When there were no traffic lights at intersections and traffic participants did not obey traffic rules, Roy et al. [10] embedded the interaction of traffic participants into a GAN network for trajectory prediction in this scenario. Through the verification of the VisDrone dataset, the trajectory ...
The experimental results show the effectiveness of the proposed traffic signal-detection algorithm in urban road traffic scenes using a self-made domestic urban traffic signal dataset, yielding favorable detection outcomes. This paper is structured as follows. The first part is about traffic light-...
(sporadic events) in the dataset, there was a period of less than 50 vehicles/day traffic data from the end of November to the beginning of December. Training was conducted during this period; therefore, there could have been significant fluctuation; however, the actual situation did not ...