Autonomous vehicles were experiencing rapid development in the past few years. However,
achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic …

Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …

The problem with lidar placement is finding a lidar position that reduces the dead zone and
improves the point cloud resolution. A lidar placement method is thus proposed for the …

Abstract Autonomous Driving Vehicle (ADV) services have become a prominent motif in
intelligent vehicle technology by adapting deep learning features. Automated driverless …

The main tasks of computer vision are image classification/location, target detection, target
tracking, semantic segmentation and instance segmentation. The task of target detection is …

At present, many deep learning methods have been applied widely in the field of vehicle
and license plate detection. These methods are quite effective in detecting large objects (like …

In this article, we use among and the best-known library is Open Computer Vision we call it
for short OpenCV. It is used for image processing, to do all operations we want, to isolate …

In this work we present a novel deep learning-based approach to detect and specify map
deviations in erroneous or outdated high-definition (HD) maps using both sensor and map …

In this paper, we present 3DHD CityScenes-a new dataset with the most comprehensive,
large-scale high-definition (HD) map to date, annotated in the three spatial dimensions of …

With the progress of deep learning research, convolutional neural networks have become
the most important method in feature extraction. How to effectively classify and recognize the …