Experimental results demonstrate that the proposed Ta-SLOA-optimized XCovNet framework significantly improves vehicle object detection accuracy and efficiency, thereby offering a robust solution for real-time applications in autonomous driving and intelligent transportation systems.
Thirumavalavan et al. (Fri,) studied this question.