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Overview of environment perception for intelligent vehicles
This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
The development of wireless sensor networks, such as researchers Advanced Driver
Assistance Systems (ADAS) requires the ability to analyze the road scene just like a human …
Assistance Systems (ADAS) requires the ability to analyze the road scene just like a human …
Review on lane detection and tracking algorithms of advanced driver assistance system
Autonomous vehicles and advanced driver assistance systems are predicted to provide
higher safety and reduce fuel and energy consumption and road traffic emissions. Lane …
higher safety and reduce fuel and energy consumption and road traffic emissions. Lane …
Graph-embedded lane detection
Lane detection on road segments with complex topologies such as lane merge/split and
highway ramps is not yet a solved problem. This paper presents a novel graph-embedded …
highway ramps is not yet a solved problem. This paper presents a novel graph-embedded …
Spatial-temproal based lane detection using deep learning
Lane boundary detection is a key technology for self-driving cars. In this paper, we propose
a spatiotemporal, deep learning based lane boundary detection method that can accurately …
a spatiotemporal, deep learning based lane boundary detection method that can accurately …
Design of lane kee** assist system for autonomous vehicles
Lane detection and tracking and departure warning systems are important components of
Intelligent Transportation Systems. They have particularly attracted great interest from …
Intelligent Transportation Systems. They have particularly attracted great interest from …
Real-time road surface and semantic lane estimation using deep features
In this article, we present a robust real-time road surface and semantic lane marker
estimation algorithm using the deconvolution neural network and extra trees-based decision …
estimation algorithm using the deconvolution neural network and extra trees-based decision …