[学习笔记][车道线检测] A Hybrid Spatial-temporal Deep Learning Architecture for Lane Detection-arXiv2021 研究动机 我认为作者的研究动机有两点: 目前大量的车道线检测方法,无论是segmentation-based、row-based、anchor-basd、parametric- prediction-based, 还是其他”非主流“方法,基本上都是在单图上预测车道线...
For lane detection, various sensors are commonly used. In this paper, a vision based robust lane detection system using a novel 1-dimensional deep learning approach is proposed. Challenging situations as rain, shadow, and illumination reduces the overall performance of vision based approaches. ...
Behrendt, K., Novak, L., & Botros, R. (2017). A deep learning approach to traffic lights: Detection, tracking, and classification. In 2017 IEEE International Conference on Robotics and Automation (ICRA)(pp. 1370–1377). IEEE. Bender, P., Ziegler, J., & Stiller, C. (2014). Lanelet...
An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction Transp. Res. Part C Emerg. Technol. (2019) X.Maet al. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data ...
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CNN model to all ClinVar pathogenic mutations that disrupt splicing identified 214 human disease-causing mutations in 155 unique genes as potential therapeutic targets of BPN-15477, proving that deep learning models are a powerful approach to explore therapeutic targets for drugs that modify RNA ...
Road manhole covers are crucial components of urban infrastructure; however, inadequate maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a method for detecting road manhole covers using a stereo depth camera and
Lane detection is essential for many aspects of autonomous driving, such as lane-based navigation and highdefinition (HD) map modeling. Although lane detection is challenging especially with complex road conditions, considerable progress has been witness
Specialised hardware is used for accelerating compute-intensive tasks such as lane detection using a deep learning neural network, e.g. lanenet [27]. Pipelined control [15] is a co-design approach targeting homogeneous multiprocessor implementations. In pipelined control, the control loop is ...
Spatio-temporal anomaly detection: Actually, we can convert the anomaly detection problem into a two classification problem and then apply some traffic classification methods to solve the problem. Route Planning: It is useful to recommend an optimal route for a given departure-destination pair. Simila...