May 24, 2021 · AlexNet model is a classical deep learning algorithm in the field of image recognition. On that basis, DeepTLR algorithm for traffic lights ...
In this article, an improved traffic lights recognition scheme was proposed to apply autonomous driving in Complex Scenarios. Based on a prior map and multi- ...
This article proposed an improved vision-based traffic lights recognition algorithm for autonomous driving, integrating deep learning and multi-sensor data ...
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It is challenging to accurately and reliably recognize traffic lights in all-time and all-weather conditions. This article proposed an improved vision-based ...
Mar 10, 2023 · For traffic light recognition, VANET is a model in which cars move on paved roads. Messages about traffic lights are sent via VANETs to cars.
A two-staged deep-learning-based traffic light recognition method that consists of a pixel-wise semantic segmentation technique and a novel fully ...
It is challenging to accurately and reliably recognize traffic lights in all-time and all-weather conditions. This article proposed an improved vision-based ...
This paper introduces a novel dataset and an accompanying model designed specifically for detecting traffic signals crucial to autonomous vehicles. Our approach ...
Traffic signal recognition is a core task in autonomous driving. In this paper, an end-to-end, real-time deep learning object detection algorithm called ...
Jul 13, 2023 · In this paper, we use two methods to improve the traffic light detection and recognition method. First, we speed up training time by using the K ...
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