Vehicle‒Infrastructure Cooperative Sensing: Progress and Prospect
Recently, the autonomous driving industry in China has been gradually shifting its focus from individual-vehicle intelligence to vehicle‒infrastructure cooperation. This shift has brought significant opportunities for the intelligent transportation industry. Although research on vehicle‒infrastructu...
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| Format: | Article |
| Language: | zho |
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《中国工程科学》杂志社
2024-02-01
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| Series: | 中国工程科学 |
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| Online Access: | http://www.engineering.org.cn/en/10.15302/J-SSCAE-2024.01.016 |
| _version_ | 1797265441187430400 |
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| author | Yi Xiaoying Rui Yikang Ran Bin Luo Kaijie Sun Hucheng |
| author_facet | Yi Xiaoying Rui Yikang Ran Bin Luo Kaijie Sun Hucheng |
| author_sort | Yi Xiaoying |
| collection | DOAJ |
| description | Recently, the autonomous driving industry in China has been gradually shifting its focus from individual-vehicle intelligence to vehicle‒infrastructure cooperation. This shift has brought significant opportunities for the intelligent transportation industry. Although research on vehicle‒infrastructure cooperative sensing is still in its early stage in China, it shows a strong dedication to technological innovation, indicating significant potentials for future growth. This study examines the development status of vehicle‒infrastructure cooperative sensing and thoroughly explores the characteristics and status of core technologies that support vehicle‒infrastructure cooperative sensing. It discusses ongoing advancements in this field, investigates future technology trends, and proposes a range of recommendations for further development. Research indicates that vehicle‒infrastructure cooperative sensing is evolving toward the integration of multi-source data. Presently, its development directions mainly focus on the optimization of pure visual cooperative sensing, upgrades in LiDAR point cloud processing, advancements in multi-sensor spatiotemporal information matching and data fusion, as well as the establishment of a standards system for vehicle‒infrastructure cooperative sensing technologies. To further boost the rapid growth of vehicle‒infrastructure cooperation in China, increasing investment in the research and development of relevant technologies is advised. Enhancing partnerships among different industry sectors, establishing unified standards for processing perception data, and expediting the broad application of these technologies are also key recommendations. These strategies aim to position China advantageously in the global market of autonomous driving, contributing to the sustainable development of the industry.
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| first_indexed | 2024-04-25T00:44:51Z |
| format | Article |
| id | doaj.art-1191cf68eb794b4486e846467a2c6de8 |
| institution | Directory Open Access Journal |
| issn | 2096-0034 |
| language | zho |
| last_indexed | 2024-04-25T00:44:51Z |
| publishDate | 2024-02-01 |
| publisher | 《中国工程科学》杂志社 |
| record_format | Article |
| series | 中国工程科学 |
| spelling | doaj.art-1191cf68eb794b4486e846467a2c6de82024-03-12T05:46:31Zzho《中国工程科学》杂志社中国工程科学2096-00342024-02-0126117818910.15302/J-SSCAE-2024.01.016Vehicle‒Infrastructure Cooperative Sensing: Progress and ProspectYi Xiaoying 0 Rui Yikang Ran Bin 1 Luo Kaijie 2 Sun Hucheng3 School of Transportation, Southeast University, Nanjing 211189, China School of Transportation, Southeast University, Nanjing 211189, China School of Transportation, Southeast University, Nanjing 211189, China China Highway and Transportation Society, Beijing 100011, China Recently, the autonomous driving industry in China has been gradually shifting its focus from individual-vehicle intelligence to vehicle‒infrastructure cooperation. This shift has brought significant opportunities for the intelligent transportation industry. Although research on vehicle‒infrastructure cooperative sensing is still in its early stage in China, it shows a strong dedication to technological innovation, indicating significant potentials for future growth. This study examines the development status of vehicle‒infrastructure cooperative sensing and thoroughly explores the characteristics and status of core technologies that support vehicle‒infrastructure cooperative sensing. It discusses ongoing advancements in this field, investigates future technology trends, and proposes a range of recommendations for further development. Research indicates that vehicle‒infrastructure cooperative sensing is evolving toward the integration of multi-source data. Presently, its development directions mainly focus on the optimization of pure visual cooperative sensing, upgrades in LiDAR point cloud processing, advancements in multi-sensor spatiotemporal information matching and data fusion, as well as the establishment of a standards system for vehicle‒infrastructure cooperative sensing technologies. To further boost the rapid growth of vehicle‒infrastructure cooperation in China, increasing investment in the research and development of relevant technologies is advised. Enhancing partnerships among different industry sectors, establishing unified standards for processing perception data, and expediting the broad application of these technologies are also key recommendations. These strategies aim to position China advantageously in the global market of autonomous driving, contributing to the sustainable development of the industry. http://www.engineering.org.cn/en/10.15302/J-SSCAE-2024.01.016autonomous driving vehicle‒infrastructure cooperative sensing multi-source data LiDAR video camera standards system |
| spellingShingle | Yi Xiaoying Rui Yikang Ran Bin Luo Kaijie Sun Hucheng Vehicle‒Infrastructure Cooperative Sensing: Progress and Prospect 中国工程科学 autonomous driving vehicle‒infrastructure cooperative sensing multi-source data LiDAR video camera standards system |
| title | Vehicle‒Infrastructure Cooperative Sensing: Progress and Prospect |
| title_full | Vehicle‒Infrastructure Cooperative Sensing: Progress and Prospect |
| title_fullStr | Vehicle‒Infrastructure Cooperative Sensing: Progress and Prospect |
| title_full_unstemmed | Vehicle‒Infrastructure Cooperative Sensing: Progress and Prospect |
| title_short | Vehicle‒Infrastructure Cooperative Sensing: Progress and Prospect |
| title_sort | vehicle infrastructure cooperative sensing progress and prospect |
| topic | autonomous driving vehicle‒infrastructure cooperative sensing multi-source data LiDAR video camera standards system |
| url | http://www.engineering.org.cn/en/10.15302/J-SSCAE-2024.01.016 |
| work_keys_str_mv | AT yixiaoying vehicleinfrastructurecooperativesensingprogressandprospect AT ruiyikang vehicleinfrastructurecooperativesensingprogressandprospect AT ranbin vehicleinfrastructurecooperativesensingprogressandprospect AT luokaijie vehicleinfrastructurecooperativesensingprogressandprospect AT sunhucheng vehicleinfrastructurecooperativesensingprogressandprospect |