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  6. The forefront of LiDAR

The forefront of LiDAR

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last updated:May 14, 2019

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Explaining the characteristics, positioning, and cutting-edge product technology of LiDAR, an essential technology from autonomous driving level 3.

The recent boom in autonomous driving can be said to be supported by the performance of Velodyne's LiDAR. Velodyne developed LiDAR at the request of a team from Stanford University to win an autonomous driving contest organized by the U.S. Department of Defense. After winning the Urban Challenge, the Stanford team moved to Google, where they established the de facto standard for current autonomous driving systems. In Japan, demonstrations of autonomous driving have also begun, with LiDAR playing a significant role. However, since there are no Japanese-made LiDAR systems, the ones being used are from Velodyne. Therefore, I conceived this book project to contribute to the development of LiDAR, which will be a key technology for autonomous driving in Japan. This book has been written by leading researchers and engineers in the field of LiDAR, covering everything from basic principles to applications. While it does not cover everything about LiDAR due to its emphasis on timeliness, it is believed that most of the major topics have been introduced. I hope this book will be of some reference to researchers and engineers involved with LiDAR.

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The forefront of LiDAR

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Published on March 20, 2018 A4 size, paperback, 141 pages <Supervision> Toshio Ito / Shibaura Institute of Technology <Authors> Toshio Ito / Shibaura Institute of Technology Mineki Soga / Toyota Central R&D Labs, Inc. Toyonari Hattori / ZIK Corporation Katsuya Taniguchi / Hoyo Electric Co., Ltd. Shoji Kawahito / Shizuoka University Kazutoshi Kitano / Pioneer Corporation Ryota Mitobe / Toyo Technica, Inc. Yuji Nishikawa / Cornes Technology, Inc. Kunihiko Washio / Paradigm Laser Research Co., Ltd. Takashi Suzuki / Hamamatsu Photonics K.K. Masashi Nakagawa / Shibaura Institute of Technology Yoshiki Ninomiya / Nagoya University Taro Suzuki / Waseda University Hiroyuki Fukushima / Oki Electric Industry Co., Ltd. Yoji Kuroda / Meiji University

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55,000 yen Plus consumption tax *With CD-R is 65,000 yen + consumption tax

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P2

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P3

Applications/Examples of results

<Table of Contents> Chapter 1: The Evolution and Expectations of LiDAR for Autonomous Driving Chapter 2: Scanning-type Mechanical LiDAR Section 1: Toyota Central R&D's SPAD LiDAR Section 2: Ibeo's LiDAR Section 3: Technologies and Application Fields of Range Sensors Chapter 3: TOF Distance Image Sensors Chapter 4: Solid-State LiDAR Section 1: Pioneer's LiDAR Section 2: True Solid-State Multi-Beam Type LiDAR by XenomatiX Section 3: LiDAR by Leddar Tech Chapter 5: Lasers for LiDAR Light Sources Chapter 6: LiDAR Photodetectors Chapter 7: Point Cloud Processing Chapter 8: Methods for Improving Obstacle Recognition Performance of LiDAR Chapter 9: Application Development Section 1: Application to Autonomous Driving Section 2: 3D Mapping with Drones Section 3: 3D Spatial Measurement and Applications to VR/AR using LiDAR and Wheeled Mobile Robots Section 4: Application to Autonomous Mobile Robots

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The forefront of LiDAR

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Learn intuitively about the differences between automotive millimeter-wave radar and LiDAR through principles and videos [Web Seminar]

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This seminar aims to deepen the understanding of the three major automotive sensors (camera, LiDAR, and millimeter-wave radar) themselves. Please note that it does not deal with sensor fusion. Although all three major automotive sensors are electromagnetic wave sensors, why do their characteristics differ so greatly? This seminar will compare the three major automotive sensors while answering this simple question. As a result, participants will gain a clear understanding of the strengths and weaknesses of each sensor, leading to insights on optimal combinations. While they are all electromagnetic wave sensors, the only significant difference is almost solely "wavelength" (with millimeter-wave radar often having additional constraints related to "bandwidth"). This seminar will particularly focus on the overlapping and competitive functions (point cloud mapping) of LiDAR and millimeter-wave radar, consistently explaining the characteristics and differences derived from the differences in "wavelength" (and "bandwidth"). I believe this is likely the only seminar attempting a unified explanation based on the differences in "wavelength." The content will primarily center on explaining various malfunction mechanisms that occur in real automotive sensors. The explanations of malfunction mechanisms will be designed to be intuitively grasped using experimental data videos and animation programs.

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