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researcher

Mohammad K. Al-Sharman

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedReal-Time Unified Trajectory Planning and Optimal Control for Urban Autonomous Driving Under Static and Dynamic Obstacle Constraints

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.RO2024

Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions

Mohammad Al-Sharman, Luc Edes, Bert Sun +4

Autonomous driving at unsignalized intersections is still considered a challenging application for machine learning due to the complications associated with handling complex multi-…

cs.RO2022★ 1 cited

Real-Time Unified Trajectory Planning and Optimal Control for Urban Autonomous Driving Under Static and Dynamic Obstacle Constraints

Rowan Dempster, Mohammad Al-Sharman, Derek Rayside +1

Trajectory planning and control have historically been separated into two modules in automated driving stacks. Trajectory planning focuses on higher-level tasks like avoiding obsta…

cs.CV2022

Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving

Chuqing Hu, Sinclair Hudson, Martin Ethier +3

While supervised detection and classification frameworks in autonomous driving require large labelled datasets to converge, Unsupervised Domain Adaptation (UDA) approaches, facilit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.