Nrobotic mobile robot navigation using traffic signs in unknown indoor environments

Purcaru, Constantin; Precup, Radu‐Emil; Iercan, Daniel; Fedorovici, Lucian-Ovidiu; Dohangie, Bogdan; Drăgan, Florin

doi:10.1109/saci.2013.6608982

Cited by 2 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A slightly different approach is instead used in Purcaru et al ( 27 ), where the authors design a traffic-sign-detection algorithm, which is then verified using a robotic platform.…”

Section: Robotic Applications In Transport Researchmentioning

confidence: 99%

Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020

Ciuffo

Makridis

Padovan

et al. 2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Vehicle automation and connectivity bring new opportunities for safe and sustainable mobility in urban and highway networks. Such opportunities are however not directly associated with traffic flow improvements. Research on exploitation of connected and automated vehicles (CAVs) toward a more efficient traffic currently remains at a theoretical level, and/or based on simulation models with limited reliability. Furthermore, testing CAVs in the real world is still costly and very challenging from an implementation perspective. A possible alternative is to use automated robots. By designing and testing both the low- and the high-level controllers of CAVs, it is indeed possible to reach a better understanding of the challenges that future vehicles will need to face. Robotic applications can effectively test these challenges within a wide variety of research communities—for example, via robotic competitions. Along this direction, the Joint Research Centre has organized the first European robotic traffic competition for automated miniature vehicles. Each team participated with four robots and was judged based on a set of indicators that assess the collective behaviors of the vehicles. Results show the suitability of the methodology with different teams proposing completely different approaches to deal with the challenge and thus achieving different results. Future competitions may further raise awareness about the possibility of using CAVs to improve traffic and to engage with a broader community to design systems that are really capable of achieving this goal.

show abstract

“…A slightly different approach is instead used in Purcaru et al ( 27 ), where the authors design a traffic-sign-detection algorithm, which is then verified using a robotic platform.…”

Section: Robotic Applications In Transport Researchmentioning

confidence: 99%

Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020

Ciuffo

Makridis

Padovan

et al. 2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…There have been some methodologies proposed on autonomous vehicle path planning ( [1][2][3][4][5][6][7]). Ragi and Chong [1] proposed a partially observable Markov decision processes for unmanned aerial vehicles (UAVs) navigation for tracking multiple ground targets.…”

Section: Introductionmentioning

confidence: 99%

“…In their model, a variety of features are able to flexibly and easily incorporate into the framework by plugging in the appropriate algorithms. Purcaru et al [2] developed a navigation model based on the data from the sonar, infrared sensors and video camera mounted on the robots to guide the vehicle to reach multiple C. Luo S. X. Yang is with China Three Georges University, and the University of Guelph, Canada. targets.…”

Section: Introductionmentioning

confidence: 99%

A hybrid system for multi-goal navigation and map building of an autonomous vehicle in unknown environments

Luo

Yang

Krishnan

et al. 2013

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO)

View full text Add to dashboard Cite

A solution by hybrid algorithms is proposed in this paper for real-time map building and navigation for multiple goals purpose. In real world applications, an intelligent mobile vehicle is required to reach multiple goals with a shortest path that, in this paper, is capable of being implemented in TSP (Traveling Salesman Problem) by a Genetic Algorithm (GA) with minimized overall distance. A D*-Lite-based algorithm is applied to generate path while a mobile vehicle explores through a terrain and builds a map in unknown environments. After the global path is planned, it creates a breadcrumb trail leading to the multiple goals. A LIDAR-based local navigation algorithm is employed to plan a collision-free path along breadcrumbs. In this paper, simulation and experimental results demonstrate that the real-time concurrent map building and multi-goal navigation of an autonomous vehicle is successfully performed under unknown environments.

show abstract

Nrobotic mobile robot navigation using traffic signs in unknown indoor environments

Cited by 2 publications

References 18 publications

Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020

Robotic Competitions to Design Future Transport Systems: The Case of JRC AUTOTRAC 2020

A hybrid system for multi-goal navigation and map building of an autonomous vehicle in unknown environments

Contact Info

Product

Resources

About