3 accepted papers
Monocular 3D object detection has received growing recognition in contemporary research due to its reduced hardware complexity and lower deployment cost compared to multi-sensor-based approaches. Prior research has primarily addressed ideal environmental settings, neglecting the influence of diverse…
Monocular 3D object detection has gained attention for its cost-efficiency and simpler setup compared to multi-sensor systems. In this task, accurate depth estimation is crucial for precise object localization, yet extracting sufficient depth cues from a single image remains inherently challenging. …
Monocular 3D object detection is a cost-efficient alternative to multisensor systems, yet it remains fragile to multi-component adversarial attacks that perturb the image and tamper with camera calibration. Compounded distortions degrade 3D reasoning by disrupting the correspondence between the 3D g