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Obstacle Avoidance Using Multiobjective Optimization and a Dynamic Obstacle Manager
IEEE Journal of Oceanic Engineering, 2019This paper describes a set of software modules and algorithms for obstacle avoidance. The approach described here is designed to work in conjunction with any path planning method that generates a viable sequence of waypoints, with obstacle avoidance regarded as a local deviation of the planned path of points.
Michael R. Benjamin +3 more
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Obstacle avoidance method based on the movement trend of dynamic obstacles
2018 3rd International Conference on Control and Robotics Engineering (ICCRE), 2018Obstacle avoidance is a well-known problem in the field of robotics. In this paper, movement trends of obstacles are proposed to be considered to improve the classical obstacle avoidance method. According to the movement laws of the dynamic obstacle, the movement trends of the obstacle are predicted to help the robot to plan the route and the mode of ...
Yutian Liu +2 more
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Autonomous Obstacle Avoidance for Distributed Drive Electric Vehicles via Dynamic Drifting
Distributed drive electric vehicles (DDEVs) are over-actuated systems, and conventional obstacle avoidance algorithms could not take advantage of the four-wheel independent drive characteristics to expand the handling stability limits during obstacle ...
Xuanming Zhao +2 more
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Person Following with Dynamic Obstacle Avoidance
2023 IEEE International Conference on Real-time Computing and Robotics (RCAR), 2023Lingxin Kong +4 more
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Reactive avoidance of dynamic obstacles through optimization of their epipoles
2015 19th International Conference on System Theory, Control and Computing (ICSTCC), 2015This paper proposes a new reactive method of avoiding dynamic obstacles by real-time optimization. A mobile robot is equipped with a monocular camera and dynamic obstacles are identified in the image sequence by clustering the optical flow. The respective epipoles of the clusters are determined and afterwards the relative epipole positions are ...
Schaub, Alexander, Burschka, Darius
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A tractable convergent dynamic window approach to obstacle avoidance
IEEE/RSJ International Conference on Intelligent Robots and System, 2003The dynamic window approach is a well known navigation scheme developed by Fox et. al. (1997) and extended by Brock and Khatib (1999). It is safe by construction and has been shown to perform very efficiently in experimental setups. However, one can construct examples where the proposed scheme fails to attain the goal configuration.
Petter Ă–gren, Naomi Ehrich Leonard
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Stable path planning algorithm for avoidance of dynamic obstacles
2015 Annual IEEE Systems Conference (SysCon) Proceedings, 2015Previous research of path planning has focused mainly on finding shortest paths or smallest movements. These methods, however, have poor stability characteristics when dynamic obstacles are considered on real-life or in-body map's environments. In this paper, we suggest a stable path planning algorithm for avoidance of dynamic obstacles.
Won-Seok Kang +5 more
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A novel obstacle avoidance control algorithm in a dynamic environment
2013 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), 2013This paper is concerned with obstacle avoidance control strategy of unicycle mobile robot in a dynamic environment. We propose a control algorithm based on collision cone approach to avoid collision with stationary obstacle. The algorithm is simple and easy to implement in the real world applications.
Galib R. Mallik, Arpita Sinha
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Speed-Dependent Obstacle Avoidance by Dynamic Active Regions
2004An obstacle avoidance approach is introduced that has dynamic active regions. The dynamic regions are adapted to the current speed of the robot and there are different active regions used, one for speed reduction and one of turning away from obstacles.
Hans-Ulrich Kobialka, Vlatko Becanovic
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Dynamic Target Tracking and Obstacle Avoidance using a Drone
2015This paper focuses on tracking dynamic targets using a low cost, commercially available drone. The approach presented utilizes a computationally simple potential field controller expanded to operate not only on relative positions, but also relative velocities.
Alexander C. Woods, Hung M. La
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