An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion
Integration technologies of artificial intelligence (AI) and autonomous vehicles play important roles in intelligent transportation systems (ITS). In order to achieve better logistics distribution efficiency, this paper proposes an intelligent actuator of an indoor logistics system by fusing multipl...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
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| Series: | Actuators |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-0825/10/6/120 |
| _version_ | 1797531398818496512 |
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| author | Pangwei Wang Yunfeng Wang Xu Wang Ying Liu Juan Zhang |
| author_facet | Pangwei Wang Yunfeng Wang Xu Wang Ying Liu Juan Zhang |
| author_sort | Pangwei Wang |
| collection | DOAJ |
| description | Integration technologies of artificial intelligence (AI) and autonomous vehicles play important roles in intelligent transportation systems (ITS). In order to achieve better logistics distribution efficiency, this paper proposes an intelligent actuator of an indoor logistics system by fusing multiple involved sensors. Firstly, an actuator based on a four-wheel differential chassis is equipped with sensors, including an RGB camera, a lidar and an indoor inertial navigation system, by which autonomous driving can be realized. Secondly, cross-floor positioning can be realized by multi-node simultaneous localization and mappings (SLAM) based on the Cartographer algorithm Thirdly the actuator can communicate with elevators and take the elevator to the designated delivery floor. Finally, a novel indoor route planning strategy is designed based on an A* algorithm and genetic algorithm (GA) and an actual building is tested as a scenario. The experimental results have shown that the actuator can model the indoor mapping and develop the optimal route effectively. At the same time, the actuator displays its superiority in detecting the dynamic obstacles and actively avoiding the collision in the indoor scenario. Through communicating with indoor elevators, the final delivery task can be completed accurately by autonomous driving. |
| first_indexed | 2024-03-10T10:43:14Z |
| format | Article |
| id | doaj.art-b75527c1d3124acd856ce88165059001 |
| institution | Directory Open Access Journal |
| issn | 2076-0825 |
| language | English |
| last_indexed | 2024-03-10T10:43:14Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Actuators |
| spelling | doaj.art-b75527c1d3124acd856ce881650590012023-11-21T22:49:56ZengMDPI AGActuators2076-08252021-06-0110612010.3390/act10060120An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor FusionPangwei Wang0Yunfeng Wang1Xu Wang2Ying Liu3Juan Zhang4Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, ChinaBeijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, ChinaBeijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, ChinaBeijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, ChinaCollege of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UKIntegration technologies of artificial intelligence (AI) and autonomous vehicles play important roles in intelligent transportation systems (ITS). In order to achieve better logistics distribution efficiency, this paper proposes an intelligent actuator of an indoor logistics system by fusing multiple involved sensors. Firstly, an actuator based on a four-wheel differential chassis is equipped with sensors, including an RGB camera, a lidar and an indoor inertial navigation system, by which autonomous driving can be realized. Secondly, cross-floor positioning can be realized by multi-node simultaneous localization and mappings (SLAM) based on the Cartographer algorithm Thirdly the actuator can communicate with elevators and take the elevator to the designated delivery floor. Finally, a novel indoor route planning strategy is designed based on an A* algorithm and genetic algorithm (GA) and an actual building is tested as a scenario. The experimental results have shown that the actuator can model the indoor mapping and develop the optimal route effectively. At the same time, the actuator displays its superiority in detecting the dynamic obstacles and actively avoiding the collision in the indoor scenario. Through communicating with indoor elevators, the final delivery task can be completed accurately by autonomous driving.https://www.mdpi.com/2076-0825/10/6/120logistics systemmulti-sensor fusionautonomous drivingsimultaneous localization and mapping (SLAM)genetic algorithm (GA) |
| spellingShingle | Pangwei Wang Yunfeng Wang Xu Wang Ying Liu Juan Zhang An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion Actuators logistics system multi-sensor fusion autonomous driving simultaneous localization and mapping (SLAM) genetic algorithm (GA) |
| title | An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion |
| title_full | An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion |
| title_fullStr | An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion |
| title_full_unstemmed | An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion |
| title_short | An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion |
| title_sort | intelligent actuator of an indoor logistics system based on multi sensor fusion |
| topic | logistics system multi-sensor fusion autonomous driving simultaneous localization and mapping (SLAM) genetic algorithm (GA) |
| url | https://www.mdpi.com/2076-0825/10/6/120 |
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