Domokos Kiss

Domokos Kiss
Budapest University of Technology and Economics · Department of Automation and Applied Informatics

MSc

About

13
Publications
8,681
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135
Citations
Citations since 2017
2 Research Items
104 Citations
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201720182019202020212022202305101520

Publications

Publications (13)
Article
Full-text available
In this paper we introduce a novel method for obtaining good quality paths for autonomous road vehicles (e.g., cars or buses) in narrow environments. There are many traffic situations in urban scenarios where nontrivial maneuvering in narrow places is necessary. Navigating in cluttered parking lots or having to avoid obstacles blocking the way and...
Conference Paper
Development of driverless road vehicles is one of the most active research areas of robotics today. Path planning among obstacles is one of the challenging problems to be solved in order to achieve autonomous navigation. In this paper we present a geometric path planning approach for car-like robots, intended for generating good quality paths even...
Conference Paper
Full-text available
Path planning among obstacles for nonholonomic systems is a widely researched area nowadays, but it is still one of the most challenging problems in autonomous navigation. We have recently presented a rapidly exploring random tree based global planner (RTR) and a steering method (C*CS) for car-like vehicles, which uses circular and straight movemen...
Conference Paper
Full-text available
The need for intelligent autonomous vehicles is increasing in industrial and everyday life as well. Path planning among obstacles is one of the challenging problems to be solved to achieve autonomous navigation. In this paper we present a global geometric path planning method for car-like robots, which proved to be effective especially in cluttered...
Conference Paper
Full-text available
This paper presents a comprehensive solution for path planning and control of two popular types of autonomous wheeled vehicles. Differentially driven and car-like motion systems are the most widespread structures among wheeled mobile robots. The planning algorithm employs a rapidly exploring random tree based global planner (RTR), which generates p...
Conference Paper
A steering method for local path generation of car-like robots is presented in this paper. It is shown that in the absence of obstacles there are infinitely many solutions between two arbitrary configurations in the form of C*CS paths. This property facilitates the application of this class of paths in global planning algorithms where collisions wi...
Conference Paper
Full-text available
The Dynamic Window Approach (DWA) to collision avoidance is a well-known and elegant method in the mobile robotics field. It provides a collision-free navigation between obstacles, and takes the dynamic properties of the robot into account. Numerous variants had been proposed for this approach, most of them are using an objective function consistin...
Article
Full-text available
A new approach of nonholonomic path planning for car-like robots is presented. The main idea is similar to many existing approaches which obtain a path in two phases. It is familiar in nonholonomic planning that at first a holonomic path is planned which is approximated by a nonholonomic one in a second step by subdividing it into smaller parts and...
Conference Paper
A well-known reactive motion planning technique, the dynamic window approach (DWA) provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of the robot into account. Most of the DWA-based methods have the same limitation, namely they use an objective function consisting of weighted terms. Differen...
Chapter
Full-text available
Applications in mobile robotics require safe and goal-oriented motion while navigating in an environment obstructed by obstacles. The dynamic window approach (DWA) to collision avoidance and its different variants provide safe motion among obstacles, although they have the same limitation, namely us-ing an objective function consisting of weighted...
Article
Most mobile robot navigation approaches assume the robot being point-like or consider only its bounding circle while looking for a collision-free path to a given goal position. A well-known method called the Dynamic Window Approach (DWA) introduced an interesting idea for solving the navigation problem by local optimization in the control space of...
Conference Paper
Full-text available
The dynamic window approach to collision avoidance is a well-known method in the mobile robotics field. It provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of the robot into account. There are different variants of this method, all having the same limitation, namely they use an objective fu...

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