Expert Systems With Applications

68 citations recorded by the source corpus.

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A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, methodology): “A road marking detection based localization technique using; two cameras directed towards the ground, GPS-IMU dead reckoning, odometry, and a precise marker location map was proposed in [116].”
Sensor Fusion-Based Low-Cost Vehicle Localization System for Complex Urban Environments (2017, background): “Nedevschi et al. [16], Lundgren et al. [7], Lee et al. [17], Jo et al. [18], Lu et al. [19], Gruyer et al. [20], Tao et al. [21], Kamijo et al. [22], and Heidenreich et al. [23] utilize various types of cameras to recognize lane markings in a parametric way.”
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review (2020, unknown): “…(road markings and static interest points) for use in either map building through simultaneous localization and mapping algorithms (SLAM) [31] or by matching them with a pre-existing high-deﬁnition (HD) map [32] and then obtaining accurate positions for both the ego vehicle and surrounding objects.”
Mobile Edge Intelligence and Computing for the Internet of Vehicles (2019, background): “Techniques such as sensor fusion can be used to compensate for shortcomings of individual sensors, by exploiting sensing data from different sensors [55], [56], [57].”