The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review
With the rapid advancement of technologies related to unmanned ground systems, ground vehicles are being widely deployed across various domains. However, when operating in complex, soft terrain environments, the low bearing capacity of such terrains poses a significant challenge to vehicle mobility....
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/16/1/47 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832587306327867392 |
|---|---|
| author | Chen Hua Wencheng Zhang Hanghao Fu Yuhao Zhang Biao Yu Chunmao Jiang Yuliang Wei Ziyu Chen Xinkai Kuang |
| author_facet | Chen Hua Wencheng Zhang Hanghao Fu Yuhao Zhang Biao Yu Chunmao Jiang Yuliang Wei Ziyu Chen Xinkai Kuang |
| author_sort | Chen Hua |
| collection | DOAJ |
| description | With the rapid advancement of technologies related to unmanned ground systems, ground vehicles are being widely deployed across various domains. However, when operating in complex, soft terrain environments, the low bearing capacity of such terrains poses a significant challenge to vehicle mobility. This paper presents a comprehensive review of mobility prediction methods for ground vehicles in off-road environments. We begin by discussing the concept of vehicle mobility, followed by a systematic and thorough summary of the primary prediction methods, including empirical, semi-empirical, numerical simulation, and machine learning approaches. The strengths and weaknesses of these methods are compared and analyzed in detail. Subsequently, we explore the application scenarios of mobility prediction in military operations, subsea work, planetary exploration, and agricultural activities. Finally, we address several existing challenges in current mobility prediction methods and propose exploratory research directions focusing on key technologies and applications, such as real-time mobility prediction, terrain perception, path planning on deformable terrain, and autonomous mobility prediction for unmanned systems. These insights aim to provide valuable reference points for the future development of vehicle mobility prediction methods. |
| format | Article |
| id | doaj-art-a68734840b9741eaa0fbad9a689a76e0 |
| institution | Kabale University |
| issn | 2032-6653 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-a68734840b9741eaa0fbad9a689a76e02025-01-24T13:52:53ZengMDPI AGWorld Electric Vehicle Journal2032-66532025-01-011614710.3390/wevj16010047The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A ReviewChen Hua0Wencheng Zhang1Hanghao Fu2Yuhao Zhang3Biao Yu4Chunmao Jiang5Yuliang Wei6Ziyu Chen7Xinkai Kuang8Changzhou Institute of Technology, Changzhou 213031, ChinaChangzhou Institute of Technology, Changzhou 213031, ChinaChangzhou Institute of Technology, Changzhou 213031, ChinaChangzhou Institute of Technology, Changzhou 213031, ChinaHefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaHefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaHefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, ChinaDepartment of Automation, University of Science and Technology of China, Hefei 230026, ChinaDepartment of Automation, University of Science and Technology of China, Hefei 230026, ChinaWith the rapid advancement of technologies related to unmanned ground systems, ground vehicles are being widely deployed across various domains. However, when operating in complex, soft terrain environments, the low bearing capacity of such terrains poses a significant challenge to vehicle mobility. This paper presents a comprehensive review of mobility prediction methods for ground vehicles in off-road environments. We begin by discussing the concept of vehicle mobility, followed by a systematic and thorough summary of the primary prediction methods, including empirical, semi-empirical, numerical simulation, and machine learning approaches. The strengths and weaknesses of these methods are compared and analyzed in detail. Subsequently, we explore the application scenarios of mobility prediction in military operations, subsea work, planetary exploration, and agricultural activities. Finally, we address several existing challenges in current mobility prediction methods and propose exploratory research directions focusing on key technologies and applications, such as real-time mobility prediction, terrain perception, path planning on deformable terrain, and autonomous mobility prediction for unmanned systems. These insights aim to provide valuable reference points for the future development of vehicle mobility prediction methods.https://www.mdpi.com/2032-6653/16/1/47soil terrainterramechanicsmobility predictionoff-roadnumerical simulation |
| spellingShingle | Chen Hua Wencheng Zhang Hanghao Fu Yuhao Zhang Biao Yu Chunmao Jiang Yuliang Wei Ziyu Chen Xinkai Kuang The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review World Electric Vehicle Journal soil terrain terramechanics mobility prediction off-road numerical simulation |
| title | The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review |
| title_full | The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review |
| title_fullStr | The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review |
| title_full_unstemmed | The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review |
| title_short | The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review |
| title_sort | prediction method and application of off road mobility for ground vehicles a review |
| topic | soil terrain terramechanics mobility prediction off-road numerical simulation |
| url | https://www.mdpi.com/2032-6653/16/1/47 |
| work_keys_str_mv | AT chenhua thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT wenchengzhang thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT hanghaofu thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT yuhaozhang thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT biaoyu thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT chunmaojiang thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT yuliangwei thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT ziyuchen thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT xinkaikuang thepredictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT chenhua predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT wenchengzhang predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT hanghaofu predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT yuhaozhang predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT biaoyu predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT chunmaojiang predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT yuliangwei predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT ziyuchen predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview AT xinkaikuang predictionmethodandapplicationofoffroadmobilityforgroundvehiclesareview |