Multimodal Laser-Vision Approach for the Deictic Control of a Smart Wheelchair

Leishman, Frédéric; Horn, O.; Bourhis, Guy

doi:10.1007/978-3-642-02868-7_13

Cited by 6 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fig. 11 shows some results obtained during our first tests with the trajectory performed on the right and the video image at the start of experimentation on the left [25]. On these results, the variations of speed can be seen thanks to the deviation between the successive rectangles representing the wheelchair.…”

Section: Resultsmentioning

confidence: 89%

“…The PID controller, which generates the position of the simulated joystick, is adjusted with the Takahashi method. This allows to compute the parameters of the PID directly in a closed loop, without having to identify the model of the wheelchair [25]. The control loop is illustrated in Fig.…”

Section: Closed Loop Control Of the Wheelchair In Positionmentioning

confidence: 99%

“…The approach achieved is based on a navigation directly linked to the location of the narrow passage [25]. The wheelchair has to move towards the goal, step by step, by tracking a succession of target points to reach the centre of the passage in correct position and orientation.…”

Section: Generation Of the Trajectorymentioning

confidence: 99%

See 2 more Smart Citations

Smart wheelchair control through a deictic approach

Leishman¹,

Horn²,

Bourhis³

2010

Robotics and Autonomous Systems

View full text Add to dashboard Cite

Section: Resultsmentioning

confidence: 89%

Section: Closed Loop Control Of the Wheelchair In Positionmentioning

confidence: 99%

See 1 more Smart Citation

Smart wheelchair control through a deictic approach

Leishman¹,

Horn²,

Bourhis³

2010

Robotics and Autonomous Systems

View full text Add to dashboard Cite

“…Many smart wheelchair works recognize docking as a desired behavior or mention it as a goal for future work [5]- [13].…”

Section: Related Workmentioning

confidence: 99%

Automated perception of safe docking locations with alignment information for assistive wheelchairs

Jain¹,

Argall²

2014

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

View full text Add to dashboard Cite

There are basic manuvering tasks with a powered wheelchair, like docking under a table and passage through a doorway or narrow hallway, which can be difficult for users with severe motor impairments-not only because of limitations in their own motor control, but also because of limitations in the control interfaces available to them. Robot automation can help transfer some of this control burden from the user to the machine. This work presents an algorithm for the automated detection of safe docking locations at rectangular and circular docking structures (tables, desks) with proper alignment information using 3D point cloud data. The safe docking locations can then be provided as goals to an autonomous path planner, within the context of providing adaptive driving assistance for powered wheelchair users. We evaluate the performance of our algorithm with systematic testing on several docking structures, observed from varied viewpoints.978-1-4799-6934-0/14/$31.00 ©2014 IEEE

show abstract

“…Recently, a new kind of interface was proposed to pilot powered wheelchairs: the deictic interface. The user can see and select his destination on a screen and the intelligent wheelchair goes there autonomously (Leishman et al ., , ).…”

Section: Contextmentioning

confidence: 99%

Using simple scenarios for wheelchair driving assistance

2012

View full text Add to dashboard Cite

Artificial intelligence can be used to recognize and anticipate dynamic situations. Several computational methods based on mathematical tools already exist, but most of the time their implementation is complex and takes a long time to execute. In this article, we propose another learning and anticipation method in order to assist users in dynamic situations. We call it ‘scenario‐based reasoning’ algorithm. It is inspired by case‐based reasoning. It works with symbolic data and its aim is to make real‐time predictions. To do so, manipulated knowledge is specially designed to limit our solution's complexity and to facilitate learning and anticipation.

show abstract

Multimodal Laser-Vision Approach for the Deictic Control of a Smart Wheelchair

Cited by 6 publications

References 8 publications

Smart wheelchair control through a deictic approach

Smart wheelchair control through a deictic approach

Automated perception of safe docking locations with alignment information for assistive wheelchairs

Using simple scenarios for wheelchair driving assistance

Contact Info

Product

Resources

About