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Review the state-of-the-art technologies of semantic segmentation based on deep learning
The goal of semantic segmentation is to segment the input image according to semantic
information and predict the semantic category of each pixel from a given label set. With the …
information and predict the semantic category of each pixel from a given label set. With the …
A review of vehicle detection techniques for intelligent vehicles
Z Wang, J Zhan, C Duan, X Guan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …
intelligent vehicles, which directly affects the behavior decision-making and motion planning …
Milestones in autonomous driving and intelligent vehicles: Survey of surveys
L Chen, Y Li, C Huang, B Li, Y ** representations
Three-dimensional point cloud registration is an important field in computer vision. Recently,
due to the increasingly complex scenes and incomplete observations, many partial-overlap …
due to the increasingly complex scenes and incomplete observations, many partial-overlap …
[HTML][HTML] A survey on deep-learning-based lidar 3d object detection for autonomous driving
LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast
decision-making when driving. The sensor is used in the perception system, especially …
decision-making when driving. The sensor is used in the perception system, especially …
A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for autonomous driving
LiDAR-based 3D object detection for autonomous driving has recently drawn the attention of
both academia and industry since it relies upon a sensor that incorporates appealing …
both academia and industry since it relies upon a sensor that incorporates appealing …
Real-time stereo matching with high accuracy via Spatial Attention-Guided Upsampling
Z Wu, H Zhu, L He, Q Zhao, J Shi, W Wu - Applied Intelligence, 2023 - Springer
Deep learning-based stereo matching methods have made remarkable progress in recent
years. However, it is still a challenging task to achieve high accuracy in real time. In …
years. However, it is still a challenging task to achieve high accuracy in real time. In …