Development of an Autonomous Formula SAE Car with Laser Scanner and GPS

Drage, Thomas; Kalinowski, Jordan; Bräunl, Thomas

doi:10.3182/20140824-6-za-1003.01386

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Whereas, laser scanner solutions are usually faster because of the wide range of possible distances. Laser scanners can be found in numerous recent solutions connected with human detection and tracking [42], road and lane detection, and description [43] or automotive applications for vehicle motion controlling [44]. Depth information sensors are very accurate, especially for short distances, where vision-based solutions produce poor results.…”

Section: Related Workmentioning

confidence: 99%

Improved Human Detection with a Fusion of Laser Scanner and Vision/Infrared Information for Mobile Applications

2018

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This paper presents a method for human detection using a laser scanner with vision or infrared images. Mobile applications require reliable and efficient methods for human detection, especially as a part of driver assistance systems, including pedestrian collision systems. The authors propose an efficient method for multimodal human detection based on a combination of the features and context information. Strictly, the human is detected in the vision/infrared images using a combination of local binary patterns and histogram of oriented gradients features with a neural network in a cascade manner. Next, using coordinates of detected humans from the vision system, the moving trajectory is predicted until the scanner working distance is reached by the individual human. Then the segmentation of data from the laser scanner is further carried out with respect to the predicted trajectory. Finally, human detection in the laser scanner working distance is performed based on modelling of the human legs. The modelling is based on the adaptive breakpoint detection algorithm and proposed improved polylines definition and fitting algorithm. The authors conducted a set of experiments in predefined scenarios, discussed the identified weakness and advantages of the proposed method, and outlined detailed future work, especially for night-time and low-light conditions.

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Section: Related Workmentioning

confidence: 99%

Improved Human Detection with a Fusion of Laser Scanner and Vision/Infrared Information for Mobile Applications

2018

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Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

Betz

Zheng

Liniger

et al. 2022

IEEE Open J. Intell. Transp. Syst.

139

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Research in Autonomous Driving – A Historic Bibliometric View of the Research Development in Autonomous Driving

Boric

Schiebel

Schlögl

et al. 2021

IJIED

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Autonomous driving has become an increasingly relevant issue for policymakers, the industry, service providers, infrastructure companies, and science. This study shows how bibliometrics can be used to identify the major technological aspects of an emerging research field such as autonomous driving. We examine the most influential publications and identify research fronts of scientific activities until 2017 based on a bibliometric literature analysis. Using the science mapping approach, publications in the research field of autonomous driving were retrieved from Web of Science and then structured using the bibliometric software BibTechMon by the AIT (Austrian Institute of Technology). At the time of our analysis, we identified four research fronts in the field of autonomous driving: (I) Autonomous Vehicles and Infrastructure, (II) Driver Assistance Systems, (III) Autonomous Mobile Robots, and (IV) IntraFace, i.e., automated facial image analysis. Researchers were working extensively on technologies that support the navigation and collection of data. Our analysis indicates that research was moving towards autonomous navigation and infrastructure in the urban environment. A noticeable number of publications focused on technologies for environment detection in automated vehicles. Still, research pointed at the technological challenges to make automated driving safe.

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Development of an Autonomous Formula SAE Car with Laser Scanner and GPS

Cited by 4 publications

References 16 publications

Improved Human Detection with a Fusion of Laser Scanner and Vision/Infrared Information for Mobile Applications

Improved Human Detection with a Fusion of Laser Scanner and Vision/Infrared Information for Mobile Applications

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

Research in Autonomous Driving – A Historic Bibliometric View of the Research Development in Autonomous Driving

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