Back to Search
Start Over
Low-Altitude and High-Speed Terrain Tracking Method for Lightweight AUVs
- Source :
- Journal of Robotics and Mechatronics. 30:971-979
- Publication Year :
- 2018
- Publisher :
- Fuji Technology Press Ltd., 2018.
-
Abstract
- This paper proposes a new method for cruising-type autonomous underwater vehicles (AUVs) to track rough seafloors at low altitudes while also maintaining a high surge velocity. Low altitudes are required for visual observation of the seafloor. The operation of AUVs at low altitudes and high surge velocities permits rapid seafloor imaging over a wide area. This method works without high-grade sensors, such as inertial navigation systems (INS), Doppler velocity logs (DVL), or multi-beam sonars, and it can be implemented in lightweight AUVs. The seafloor position is estimated based on a reflection intensity map defined on a vertical plane, using measurements from scanning sonar and basic sensors of depth, attitude, and surge velocity. Then, based on the potential method, a reference pitch angle is generated that allows the AUV to follow the seafloor at a constant altitude. This method was implemented in the AUV HATTORI, and a series of sea experiments were carried out to evaluate its performance. HATTORI (Highly Agile Terrain Tracker for Ocean Research and Investigation) is a lightweight and low-cost testbed designed for rapid and efficient imaging of rugged seafloors, such as those containing coral reefs. The vehicle succeeded in following a rocky terrain at an altitude of approximately 2 m with a surge velocity of approximately 0.8 m/s. This paper also presents the results of sea trials conducted at Ishigaki Island in 2017, where the vehicle succeeded in surveying the irregular, coral-covered seafloor.
- Subjects :
- Low altitude
0209 industrial biotechnology
General Computer Science
010505 oceanography
Computer science
Real-time computing
Terrain
02 engineering and technology
Tracking (particle physics)
01 natural sciences
020901 industrial engineering & automation
Obstacle avoidance
Motion planning
Electrical and Electronic Engineering
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 18838049 and 09153942
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Journal of Robotics and Mechatronics
- Accession number :
- edsair.doi...........fffe7b7b50c8a6805e88ca4353870f3a