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Mohamed-Cherif Rahal

6 papers hereh-index 8282 citations23 works total

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

author position
  • middle author3
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO3

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedSelf-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods

18 citations · 39 across the 6 of their papers we have counts for

collaborators
Showing cs.ROShow all

3 papers · 1 filter

cs.RO2026

A Real-Time Generalized Nash Equilibrium Framework for Interaction-Aware Autonomous Driving in Mixed Traffic

Nouhed Naidja, Mohamed-Cherif Rahal, Steve Pechberti +3

Safe and efficient navigation in mixed-traffic environments remains a critical challenge for Autonomous Vehicles (AVs), primarily due to the complex interdependence between the AV'…

cs.RO2018★ 3 cited

Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques

Hatem Hajri, Emmanuel Doucet, Marc Revilloud +3

As automated vehicles are getting closer to becoming a reality, it will become mandatory to be able to characterise the performance of their obstacle detection systems. This valida…

cs.RO2018★ 18 cited

Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth

Hatem Hajri, Mohamed-Cherif Rahal

- Both Lidars and Radars are sensors for obstacle detection. While Lidars are very accurate on obstacles positions and less accurate on their velocities, Radars are more precise on…

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