3 accepted papers
Modern autonomous driving systems increasingly rely on mixed camera configurations with pinhole and fisheye cameras for full view perception. However, Bird's-Eye View(BEV) 3D object detection models are predominantly designed for pinhole cameras, leading to performance degradation under fisheye dist…
Fisheye cameras are widely deployed in autonomous driving perception suites for their low cost and full-coverage field of view (FOV), yet their potential remains under-leveraged in 3D object detection. Severe radial distortion challenges most BEV detectors by violating the fundamental assumption of …
Smart sensors and Vehicle-To-Everything (V2X) modules are commonly utilized in automotive perception systems, which primarily provide processed object lists rather than raw data. However, high-level fusion approaches suffer from significant information loss and representational misalignment due to t