Semantic-Based Road Segmentation for High-Definition Map Construction

A Study on High Definition Road Map Construction Using Aerial Photography

Journal of Korean Society for Geospatial Information System ◽

10.7319/kogsis.2020.28.3.069 ◽

2020 ◽

Vol 28 (3) ◽

pp. 69-76

Author(s):

Tae Seok Choi ◽

Ha Su Yoon ◽

Yun Soo Choi ◽

Won Jong Lee ◽

Soo Young Chang

Keyword(s):

Aerial Photography ◽

High Definition ◽

Road Map ◽

Map Construction

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Lane-Marker-Based Map Construction and Map Precision Evaluation Methods Using On-Board Cameras for Autonomous Driving

Journal of Robotics and Mechatronics ◽

10.20965/jrm.2020.p0613 ◽

2020 ◽

Vol 32 (3) ◽

pp. 613-623

Author(s):

Kenta Maeda ◽

Junya Takahashi ◽

Pongsathorn Raksincharoensak ◽

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Keyword(s):

Autonomous Vehicles ◽

Evaluation Method ◽

Autonomous Driving ◽

Sufficient Information ◽

High Definition ◽

Special Purpose Vehicle ◽

Construction Methods ◽

Map Construction ◽

Mapping System ◽

Cost Efficient

This report describes a map construction and evaluation method based on lane-marker information for autonomous driving. Autonomous driving systems typically require digital high-definition (HD) maps to correct the current position of autonomous vehicles by using localization techniques. However, an HD map is usually costly to generate because it requires a special-purpose vehicle and mapping system with precise and expensive sensors. This report presents a map construction method that uses cost-efficient on-board cameras. We implement two types of map construction methods with two different cameras in terms of range and field of view and test their performances to determine the minimum sensor specification required for autonomous driving. This report also presents a constructed map evaluation method to determine the “usability” of the map for autonomous driving. Given that the system cannot obtain “true” positions of landmarks, the method judges whether the constructed map contains sufficient information for localization via the presented indices “lateral-distance error.” The methods are verified based on mapping and localization errors determined via manual driving tests. Furthermore, the smoothness of steering maneuvers is determined by conducting autonomous driving tests on a proving ground. The results reveal the necessary conditions of sensor requirements, i.e., the constant visibility of landmarks is one of the key factors for ego-localization to conduct autonomous driving.

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Wavelet Transform-Based High-Definition Map Construction From a Panoramic Camera

Journal of Shanghai Jiaotong University (Science) ◽

10.1007/s12204-021-2346-9 ◽

2021 ◽

Vol 26 (5) ◽

pp. 569-576

Author(s):

Hanyang Zhuang ◽

Xuejun Zhou ◽

Chunxiang Wang ◽

Yuhan Qian

Keyword(s):

Wavelet Transform ◽

High Definition ◽

Map Construction

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Routine Digital Processing of Microscope Images

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100181506 ◽

1990 ◽

Vol 48 (1) ◽

pp. 550-551

Author(s):

E. Wisse ◽

A. Geerts ◽

R.B. De Zanger

Keyword(s):

Operating System ◽

Digital Processing ◽

Hard Disks ◽

The Sun ◽

Tape Drive ◽

High Definition ◽

Fluorescent Microscope ◽

Microscope Images ◽

Helical Scan ◽

Ethernet Connection

The slowscan and TV signal of the Philips SEM 505 and the signal of a TV camera attached to a Leitz fluorescent microscope, were digitized by the data acquisition processor of a Masscomp 5520S computer, which is based on a 16.7 MHz 68020 CPU with 10 Mb RAM memory, a graphics processor with two frame buffers for images with 8 bit / 256 grey values, a high definition (HD) monitor (910 × 1150), two hard disks (70 and 663 Mb) and a 60 Mb tape drive. The system is equipped with Imaging Technology video digitizing boards: analog I/O, an ALU, and two memory mapped frame buffers for TV images of the IP 512 series. The Masscomp computer has an ethernet connection to other computers, such as a Vax PDP 11/785, and a Sun 368i with a 327 Mb hard disk and a SCSI interface to an Exabyte 2.3 Gb helical scan tape drive. The operating system for these computers is based on different versions of Unix, such as RTU 4.1 (including NFS) on the acquisition computer, bsd 4.3 for the Vax, and Sun OS 4.0.1 for the Sun (with NFS).

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Enhancing Clinical Supervision Using High-Definition Real-Time Digital Recording, Annotation, and Bluetooth Technology

Perspectives of the ASHA Special Interest Groups ◽

10.1044/2019_pers-sig11-2018-0020 ◽

2019 ◽

Vol 4 (2) ◽

pp. 356-362

Author(s):

Jennifer W. Means ◽

Casey McCaffrey

Keyword(s):

Graduate Students ◽

Data Collection ◽

Real Time ◽

Clinical Supervision ◽

Video Recording ◽

Advanced Technology ◽

High Definition ◽

Recording Technology ◽

Self Confidence ◽

Additional Data Collection

Purpose The use of real-time recording technology for clinical instruction allows student clinicians to more easily collect data, self-reflect, and move toward independence as supervisors continue to provide continuation of supportive methods. This article discusses how the use of high-definition real-time recording, Bluetooth technology, and embedded annotation may enhance the supervisory process. It also reports results of graduate students' perception of the benefits and satisfaction with the types of technology used. Method Survey data were collected from graduate students about their use and perceived benefits of advanced technology to support supervision during their 1st clinical experience. Results Survey results indicate that students found the use of their video recordings useful for self-evaluation, data collection, and therapy preparation. The students also perceived an increase in self-confidence through the use of the Bluetooth headsets as their supervisors could provide guidance and encouragement without interrupting the flow of their therapy sessions by entering the room to redirect them. Conclusions The use of video recording technology can provide opportunities for students to review: videos of prospective clients they will be treating, their treatment videos for self-assessment purposes, and for additional data collection. Bluetooth technology provides immediate communication between the clinical educator and the student. Students reported that the result of that communication can improve their self-confidence, perceived performance, and subsequent shift toward independence.

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