A Survey of the State-of-the-Art Localization Techniques and Their Potentials for Autonomous Vehicle Applications

By Sampo Kuutti, Saber Fallah, Konstantinos V. Katsaros, Mehrdad Dianati, Francis Mccullough, A. Mouzakitis. 2018

699 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Electrical and Electronic Engineering

Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “to [106] for a broader localization overview.”
Radar-Assisted Predictive Beamforming for Vehicular Links: Communication Served by Sensing (2020, neutral): “In addition to wireless communication services, the sensing capability is also essential in the future V2X network, as it should be able to provide robust obstacle detection and high-accuracy localization services on the order of a centimeter [1], [2].”
A Survey on 3D Object Detection Methods for Autonomous Driving Applications (2019, background): “A more comprehensive report on current sensors for AV applications can be found in [15] and [16].”
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey (2021, background): “In terms of autonomous driving, localization is the awareness of an AV about its ego-position relative to a frame of reference in a given environment [39].”
A Survey of Deep Learning Applications to Autonomous Vehicle Control (2019, background): “in autonomous vehicle applications, including planning and decision making [27]–[31], perception [32]–[36], as well as mapping and localisation [37]–[39].”
Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey (2023, background): “The primary tasks of the perception module include: (i) Object detection (ii) Object tracking (iii) Road and lane detection Localization and mapping: Localization is the next important module, which is responsible for determining the position of the ego vehicle and the corresponding road agents [35]”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, background): “Local localization and mapping are mainly realized through the detection of vehicles, pedestrian, road marking, road shape, and landmark, whereas global localization mostly relies on GPS and IMU (or communication infrastructure) [325].”
Computing Systems for Autonomous Driving: State of the Art and Challenges (2020, background): “to face the non-ﬂatten ground issue. 3) Localization and mapping: Localization and mapping are fundamental to autonomous driving. Localization is responsible for ﬁnding ego-position relative to a map [104]. The mapping constructs multi-layer high deﬁnition (HD) maps [105] for path planning. Therefor”
Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys (2023, neutral): “All the surveys are categorized into several sub-sections, including the overall [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], localization [14], [15], [16], [17], [18], [19],”