Recently, the pure camera-based Bird's-Eye-View (BEV) perception provides a feasible
solution for economical autonomous driving. However, the existing BEV-based multi-view …

We propose ImGeoNet, a multi-view image-based 3D object detection framework that
models a 3D space by an image-induced geometry-aware voxel representation. Unlike …

Recent LSS-based multi-view 3D object detection has made tremendous progress, by
processing the features in Brid-Eye-View (BEV) via the convolutional detector. However, the …

Abstract 3D object detection from visual sensors is a cornerstone capability of robotic
systems. State-of-the-art methods focus on reasoning and decoding object bounding boxes …

3D object detection from multiple image views is a fundamental and challenging task for
visual scene understanding. Owing to its low cost and high efficiency, multi-view 3D object …

3D object detection from multiple image views is a fundamental and challenging task for
visual scene understanding. However, accurately detecting objects through perspective …

The transformation of features from 2D perspective space to 3D space is essential to multi-
view 3D object detection. Recent approaches mainly focus on the design of view …

In this paper, we address the 3D object detection task by capturing multi-level contextual
information with the self-attention mechanism and multi-scale feature fusion. Most existing …

In this paper, we develop position embedding transformation (PETR) for multi-view 3D
object detection. PETR encodes the position information of 3D coordinates into image …

In this work, we build a modular-designed codebase, formulate strong training recipes,
design an error diagnosis toolbox, and discuss current methods for image-based 3D object …