Autonomous driving requires robust, accurate and real-time environmental perception. Although cameras, LiDAR, and radar provide complementary sensing capabilities, individual modalities remain vulnerable to limitations such as depth ambiguity, point-cloud sparsity, adverse weather, and restricted angular resolution. Mu...
A. Sahbani, Rihem Sebai, T. Bejaoui et al.· International Journal of Adv...· 0 citations
This paper presents a multi-sensor fusion architecture with camera data segmentation. Robust perception is a fundamental prerequisite for the safety of autonomous vehicles, particularly in dynamic environments and varying weather conditions. Multi-sensor fusion approaches, integrating camera and LiDAR data, have emerge...
Rihem Sebai, A. Sahbani, T. Bejaoui· International Conference on...· 0 citations
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