Driving a motorized wheelchair is not without risk and requires high cognitive effort to obtain
good environmental perception. Therefore, people with severe disabilities are at risk …

Driving a motorized wheelchair is not without risk and requires high cognitive effort to obtain
a good environmental perception to complete tasks such as obstacle avoidance and path …

Several million people with disabilities exploit power wheelchairs for outdoor mobility on
both sidewalks and cycling paths. Especially those with upper limb motor impairments have …

This paper set out to revise and improve existing autonomous driving models using
reinforcement learning, thus proposing a reinforced autonomous driving prediction model …

Users with severe motor impairment may find it difficult to operate a wheelchair when they
are in tight space (eg, passing doorway) or when avoiding obstacles since they cannot …

Obstacle avoidance is an important function in self-driving vehicle control. When the vehicle
move from any arbitrary start positions to any target positions in environment, a proper path …

This paper describes a novel obstacle avoidance control scheme of electric powered
wheelchairs for realizing the safe driving in various environments. The" electric powered …

Autonomy and the ability to maintain social activities can be challenging for people with
disabilities experiencing reduced mobility. In the case of disabilities that impact mobility …

Deep reinforcement learning (DRL) enables autonomous vehicles to perform complex
decision making using neural networks. However, previous DRL networks only output …

Power wheelchairs allow people with motor disabilities to have more mobility and
independence. However, driving safely such a vehicle is a daily challenge particularly in …