Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: If a vehicle has to drive autonomously in an area with mostly pedes- trian traffic and thus needs to share the free space with pedestrians it has to safely navigate in this environment. A pedestrian area lacks fixed lanes and definite traffic rules which leads to more complex paths. Classical path planning in a par- tially known environment with multiple moving pedestrians is a hard planning problem. Just the task of accurately predicting the individual path of multiple pedestrians in a group accounting for all interactions beten the different per- sons over more than a few seconds is as good as impossible. Using this faulty prediction as a foundation for a path planning algorithm will produce a flad plan. Hover such an environment is easy for humans or animals to navigate, avoidance of other persons and moving in a group of pedestrians happens almost unconsciously.  a simple way of autonomously navigating such an environment by using a pure reactive control based on a few simple rules is ex- plored. This method doesn't need a completely known environment, doesn't plan ahead, is simple to implement and can react quick to changes in the environment. Individual public transportation in urban environments is a future key element of mo- bility solutions. The research directions follow assisted driving solutions for dedicated lanes up to autonomoulsy navigating little mobile elements for person or freight trans- portation. Due to the development of new robotic vehicle concepts in the last years, the trend for autonomy is gaining more and more impact. The possibility to call a personal transporter, ride it in an autonomous or semi-autonomous manner and leave it at any point is not given yet, but reserach is working on possbile solutions. A vehicle like this can be easily integrated into a multimodal mobility chain, picking up people at specific points and navigate them just in time to the next transportation system. This holistic approach for urban navigation using different kinds of transport modi is depicted in fig. 1. One key element in this chain is the navigation in inner-city areas especially within moving crowds of humans. Therefore this paper deals with the problem of navi- gation of autonomous systems within human groups.
['Florian Steinhardt', 'Marcus Strand', 'J. Marius Zollner']
I am writing a research paper on a idea Autonomous Navigation of a Personal Transporter within Moving Human Groups Using Reactive Control
[{"from": "human", "value": "I am writing a research paper on a idea Autonomous Navigation of a Personal Transporter within Moving Human Groups Using Reactive Control"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: If a vehicle has to drive autonomously in an area with mostly pedes- trian traffic and thus needs to share the free space with pedestrians it has to safely navigate in this environment. A pedestrian area lacks fixed lanes and definite traffic rules which leads to more complex paths. Classical path planning in a par- tially known environment with multiple moving pedestrians is a hard planning problem. Just the task of accurately predicting the individual path of multiple pedestrians in a group accounting for all interactions beten the different per- sons over more than a few seconds is as good as impossible. Using this faulty prediction as a foundation for a path planning algorithm will produce a flad plan. Hover such an environment is easy for humans or animals to navigate, avoidance of other persons and moving in a group of pedestrians happens almost unconsciously.  a simple way of autonomously navigating such an environment by using a pure reactive control based on a few simple rules is ex- plored. This method doesn't need a completely known environment, doesn't plan ahead, is simple to implement and can react quick to changes in the environment. Individual public transportation in urban environments is a future key element of mo- bility solutions. The research directions follow assisted driving solutions for dedicated lanes up to autonomoulsy navigating little mobile elements for person or freight trans- portation. Due to the development of new robotic vehicle concepts in the last years, the trend for autonomy is gaining more and more impact. The possibility to call a personal transporter, ride it in an autonomous or semi-autonomous manner and leave it at any point is not given yet, but reserach is working on possbile solutions. A vehicle like this can be easily integrated into a multimodal mobility chain, picking up people at specific points and navigate them just in time to the next transportation system. This holistic approach for urban navigation using different kinds of transport modi is depicted in fig. 1. One key element in this chain is the navigation in inner-city areas especially within moving crowds of humans. Therefore this paper deals with the problem of navi- gation of autonomous systems within human groups."}]