A reinforcement learning‐based approach for modeling and coverage of an unknown field using a team of autonomous ground vehicles
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22331
Abstract: Precision maps are useful in agricultural farm management for providing farmers (and field researchers) with locational information. Having an environmental model that includes geo‐referenced data would facilitate the deployment of multi‐robot systems, that has emerged… read more here.
Keywords: ground vehicles; field; reinforcement learning; coverage ... See more keywords
Composite nonlinear extended state observer and its application to unmanned ground vehicles
Sign Up to like & getrecommendations! Published in 2021 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2021.104731
Abstract: Abstract In this paper, a disturbance-observer-based control strategy is proposed for longitudinal control and lateral control of unmanned ground vehicles. A composite nonlinear extended state observer is put forward to estimate the total disturbance. A… read more here.
Keywords: unmanned ground; nonlinear extended; extended state; state observer ... See more keywords
A Robust SINS/VO Integrated Navigation Algorithm Based on RHCKF for Unmanned Ground Vehicles
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2873292
Abstract: High precision localization information is the precondition of unmanned ground vehicles. But the global navigation satellite system (GNSS) signal turns unreliable in urban and forest areas since it is blocked by buildings and trees easily,… read more here.
Keywords: ground vehicles; integrated navigation; unmanned ground; navigation ... See more keywords
Observer-Based Path Tracking Controller Design for Autonomous Ground Vehicles With Input Saturation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2023.123078
Abstract: This paper investigates the problem of path tracking control for autonomous ground vehicles (AGVs), where the input saturation, system nonlinearities and uncertainties are considered. Firstly, the nonlinear path tracking system is formulated as a linear… read more here.
Keywords: input saturation; observer based; ground vehicles; autonomous ground ... See more keywords
SE(2)-Constrained Visual Inertial Fusion for Ground Vehicles
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2018.2873055
Abstract: Visual inertial fusion is the problem to estimate vehicle states using visual and inertial measurements, and has recently been an active research topic. Existing visual inertial fusion approaches formulate their estimation algorithms for mobile robots… read more here.
Keywords: constrained visual; ground vehicles; inertial fusion; visual inertial ... See more keywords
Quantized Sampled-Data Attitude Control of Ground Vehicles: An Event-Based Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3184273
Abstract: Attitude control systems for ground vehicles have been an important topic in automotive research for decades, and have been extensively studied by resorting to classical continuous-time nonlinear design. Although this approach can incorporate saturation constraints… read more here.
Keywords: ground vehicles; control; attitude control; approach ... See more keywords
Exploiting Singular Configurations for Controllable, Low-Power Friction Enhancement on Unmanned Ground Vehicles
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2020.2977266
Abstract: This letter describes the design, validation, and performance of a new type of adaptive wheel morphology for unmanned ground vehicles. Our adaptive wheel morphology uses a spiral cam to create a system that enables controllable… read more here.
Keywords: unmanned ground; power; friction; ground vehicles ... See more keywords
Vision-Based Autonomous Landing for Unmanned Aerial and Ground Vehicles Cooperative Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3101882
Abstract: In this work, we consider a cooperative system in which UAVs perform long-distance missions with assistance of unmanned ground vehicles (UGVs) for battery charging. We propose an autonomous landing scheme for the UAV to land… read more here.
Keywords: system; autonomous landing; ground vehicles; based autonomous ... See more keywords
A Cloud Big-Data-Driven Dynamics Control Approach for Unmanned Ground Vehicles for Safety Improving
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2021.3067926
Abstract: Unmanned ground vehicles (UGVs) are important elements in the future intelligent transportation system (ITS), which is supposed to conduct various tasks for human beings. Obviously, the traditional edge-side (vehicle-side) dynamics control system strictly limits the… read more here.
Keywords: unmanned ground; controller; ground vehicles; big data ... See more keywords
Heading Reference-Assisted Pose Estimation for Ground Vehicles
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2018.2828078
Abstract: In this paper, heading reference-assisted pose estimation (HRPE) has been proposed to compensate inherent drift of visual odometry (VO) on ground vehicles, where an estimation error is prone to grow while the vehicle is making… read more here.
Keywords: reference assisted; heading reference; pose estimation; ground vehicles ... See more keywords
Multiobjective Overtaking Maneuver Planning for Autonomous Ground Vehicles
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.2973748
Abstract: Constrained autonomous vehicle overtaking trajectories are usually difficult to generate due to certain practical requirements and complex environmental limitations. This problem becomes more challenging when multiple contradicting objectives are required to be optimized and the… read more here.
Keywords: multiobjective optimal; maneuver; autonomous ground; multiobjective overtaking ... See more keywords