Generating Enhanced Intersection Maps for Lane Level Vehicle Positioning based Applications

Liu, Jiang; Cai, Bin; Wang, Yunpeng; Wang, Jian

doi:10.1016/j.sbspro.2013.08.268

Cited by 12 publications

(6 citation statements)

References 8 publications

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“…Compared to Clothoids or polylines, arc splines can be represented in the form of parameterless descriptions, and visualization calculations are much more efficient [17]. Authors in previous studies [91,92] adopted an arc curve to generate the driving line of an intersection, and it performed well in fitting, particularly at circular intersections (such as roundabouts).…”

Section: Arc Curvesmentioning

confidence: 99%

Lane-Level Road Network Generation Techniques for Lane-Level Maps of Autonomous Vehicles: A Survey

Zheng

Yang

et al. 2019

Sustainability

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Autonomous driving is experiencing rapid development. A lane-level map is essential for autonomous driving, and a lane-level road network is a fundamental part of a lane-level map. A large amount of research has been performed on lane-level road network generation based on various on-board systems. However, there is a lack of analysis and summaries with regards to previous work. This paper presents an overview of lane-level road network generation techniques for the lane-level maps of autonomous vehicles with on-board systems, including the representation and generation of lane-level road networks. First, sensors for lane-level road network data collection are discussed. Then, an overview of the lane-level road geometry extraction methods and mathematical modeling of a lane-level road network is presented. The methodologies, advantages, limitations, and summaries of the two parts are analyzed individually. Next, the classic logic formats of a lane-level road network are discussed. Finally, the survey summarizes the results of the review.

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Section: Arc Curvesmentioning

confidence: 99%

Lane-Level Road Network Generation Techniques for Lane-Level Maps of Autonomous Vehicles: A Survey

Zheng

Yang

et al. 2019

Sustainability

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“…Wagstaff et al [10] proposed to use the K-means clustering algorithm to cluster high-precision DGPS trajectories, analyze the number of lanes from the results, and obtain lane boundaries. Liu [20] used the high-precision trajectory data obtained by the measurement vehicle to construct a detailed structure of urban intersections and generate urban traffic networks. Although the use of high-quality GPS data to extract lane information has the advantages of high quality and reliable accuracy, its data coverage in time and space is limited and cannot describe the changes in the whole urban road information.…”

Section: Related Workmentioning

confidence: 99%

Method Based on Floating Car Data and Gradient-Boosted Decision Tree Classification for the Detection of Auxiliary Through Lanes at Intersections

Yang

et al. 2018

IJGI

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Abstract:The rapid detection of information on continuously changing intersection auxiliary through lane is a major task of lane-level navigation data updates. However, existing lane number detection methods possess long update cycles and high computational costs. Therefore, this study proposes a novel method based on floating car data (FCD) for the detection of auxiliary through lane changes at road intersections. First, roads near intersections are divided into three sections and the spatial distribution characteristics of the FCD of each section are analyzed. Second, the FCD is preprocessed to obtain a standardized FCD dataset by removing redundant data through an improved amplitude-limiting average filtering method. Third, a basic classifier for the number of lanes is constructed. Fourth, the final number of lanes of the road section is determined by combining the basic classifier and the gradient-boosted decision tree model. Finally, the presence of an auxiliary through lane at the intersection is determined in accordance with the change in the number of intersection lanes. The method was tested using data for a road in Wuchang District, Wuhan City. Experimental results show that this method can rapidly obtain auxiliary through lane information from the FCD and is superior to other classification methods.

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“…Indeed, in roundabouts the linear interpolation between sharp points may deviate from the true curve by more than one meter. In addition, the geometrical description of intersection's internal parts are often omitted or simplified with arc segments [10].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, a more refined curve representation for various lane shapes is required, taking into consideration the road continuity and the introduction of virtual lanes when required, as proposed in [10] or [11] for specific situations. This paper provides a solution to overcome these difficulties, contributing to the state of the art in the following aspects:…”

Section: Introductionmentioning

confidence: 99%

Self-Generated OSM-Based Driving Corridors

2019

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Finding the boundaries of the drivable space is a key to the development of any advanced driver assistance systems with automated driving functions. A common approach found in the literature is to combine the information of digital maps with multiple on-board sensors for building a robust and accurate model of the environment from which to extract the navigable space. In this sense, the digital map is the crucial component for relating the location of the vehicle and identifying the different road features. This paper presents an automatic procedure for generating driving corridors from OpenStreetMap. The proposed method expands the original map representation, replacing polylines by polynomial-based roads, whose sections are defined using cubic Bézier curves. All curves are automatically adjusted from the original road description, thus generating an efficient and accurate road representation without human intervention. Finally, the driving corridors are generated as a concatenation of the modified road sections along a planned route. The proposed approach has been validated in a peri-urban environment, for which corridors where successfully generated in all cases.

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Generating Enhanced Intersection Maps for Lane Level Vehicle Positioning based Applications

Cited by 12 publications

References 8 publications

Lane-Level Road Network Generation Techniques for Lane-Level Maps of Autonomous Vehicles: A Survey

Lane-Level Road Network Generation Techniques for Lane-Level Maps of Autonomous Vehicles: A Survey

Method Based on Floating Car Data and Gradient-Boosted Decision Tree Classification for the Detection of Auxiliary Through Lanes at Intersections

Self-Generated OSM-Based Driving Corridors

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