Search Results for author: Omid Shoghli

Found 2 papers, 2 papers with code

Date Published Github Stars

Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion

1 code implementation • 4 Apr 2025 • Zeyang Zheng, Arman Hosseini, Dong Chen, Omid Shoghli, Arsalan Heydarian

This study introduces a novel ground obstacle detection system for e-scooters, integrating an RGB camera, and a depth camera to enhance real-time road hazard detection.

object-detection Object Detection +1

1
Paper
Code

Performance Evaluation of Real-Time Object Detection for Electric Scooters

1 code implementation • 5 May 2024 • Dong Chen, Arman Hosseini, Arik Smith, Amir Farzin Nikkhah, Arsalan Heydarian, Omid Shoghli, Bradford Campbell

Electric scooters (e-scooters) have rapidly emerged as a popular mode of transportation in urban areas, yet they pose significant safety challenges.

Autonomous Vehicles Benchmarking +4

3
Paper
Code
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