Shi et al. [4] proposes a novel method of traffic light detection where their candidate extraction stage relies on suppressing the background. Usually, most methods begin by locating the foreground (traffic light) and ignoring the background. This implementation uses the opposite approach where the...
Classical anomaly detection techniques can detect malicious traffic generated in a cyber-attack by analyzing individual network packets. However, routers that manage large traffic loads can only examine some packets. These devices often use lightweight flow-based protocols to collect network statistics. ...
The daily occurrence of traffic accidents has led to the development of 3D reconstruction as a key tool for reconstruction, investigation, and insurance cl
4 proposed a two-stage high-resolution image detection method, effectively improving the model’s multi-scale object detection capability by adding multiple region proposal networks to convert each level of the feature pyramid into independent multi-scale proposal generators. Yang et al.5 proposed ...
In response to these challenges, Khan et al.4proposed a two-stage high-resolution image detection method, effectively improving the model’s multi-scale object detection capability by adding multiple region proposal networks to convert each level of the feature pyramid into independent multi-scale pro...
electronic computers were still at a primitive stage of development, and it was almost unthinkable that many statistical users would be able to have their own computers for their analyses. In those days, therefore, the aggregated statistical tables were taken for granted as the only form of disse...
With the running area of road intersection traffic area as the detection area, this method divides vehicle detection and tracking into two independent stages, the background difference method is applied to detect the vehicle, and the confidence index is applied to track the vehicle. The method ...
In this section, we highlight the parameter decoders in detail. To transmute the acquired spatio-temporal embeddings into ZITD parameter values, we have devised four parameter decoders to operate on Z. Consequently, four parameters, namely πt+1:t+p,μt+1:t+p,ϕt+1:t+p, and ρt+...
Traffic sign detection is a challenging task for unmanned driving systems. In the traffic sign detection process, the object size and weather conditions vary widely, which will have a certain impact on the detection accuracy. In order to solve the problem of balanced detecting precision of traffic...
Robust 3D lane detection is the key to advanced autonomous driving technologies. However, complex traffic scenes such as bad weather and variable terrain are the main factors affecting the robustness of lane detection algorithms. In this paper, a generalized two-stage network called Att-Gen-LaneNet...