Pedestrian Recognition and Tracking Using 3D LiDAR for Autonomous Vehicle
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Automotive LiDAR sensors are supposed to perform blind-spot monitoring, pedestrian identification, obstacle detection, and landscape mapping to ensure reliability and safety during driving operations.
“Automotive LiDAR sensors are supposed to perform blind-spot monitoring, pedestrian identification, obstacle detection [35], and landscape mapping [59] to ensure reliability and safety during driving operations.”
From Sensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey (2022) · cites this paper as [35]
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- Authors
- Wang, H., Wang, B., Liu, B., Meng, X., & Yang, G.
- Affiliations
- Agency for Science, Technology and Research (SG)
- Corresponding author
- Wang, Heng
- Venue
- Robotics and Autonomous Systems
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 88
- Pages
- 71-78
- ISSN
- 0921-8890 (ISSN-L)
- OpenAlex
- W2554777878
- Cited by
- 209
- References
- 31
- Citations by year
- 2026: 2 · 2025: 11 · 2024: 19 · 2023: 22 · 2022: 39 · 2021: 33 · 2020: 34 · 2019: 31 · 2018: 11 · 2017: 7
- FWCI
- 14.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Robotics and Autonomous Systems (publishedVersion)
- Funders
- National Natural Science Foundation of China (61673098, 61273148, 61420106016, 61621004)
- IAPI Fundamental Research Funds (2013ZCX01-01)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Engineering › Aerospace Engineering › Robotics and Sensor-Based Localization
- Keywords
- pedestrian detection, pedestrian tracking, 3D LiDAR, autonomous vehicles, support vector machine, curb detection, road safety
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