Robustness-aware 3d object detection in autonomous driving: A review and outlook
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …
accurately assessing the state of the surrounding environment, thereby enabling informed …
Tri-perspective view for vision-based 3d semantic occupancy prediction
Modern methods for vision-centric autonomous driving perception widely adopt the bird's-
eye-view (BEV) representation to describe a 3D scene. Despite its better efficiency than …
eye-view (BEV) representation to describe a 3D scene. Despite its better efficiency than …
Bevformer v2: Adapting modern image backbones to bird's-eye-view recognition via perspective supervision
We present a novel bird's-eye-view (BEV) detector with perspective supervision, which
converges faster and better suits modern image backbones. Existing state-of-the-art BEV …
converges faster and better suits modern image backbones. Existing state-of-the-art BEV …
Sparsebev: High-performance sparse 3d object detection from multi-camera videos
Camera-based 3D object detection in BEV (Bird's Eye View) space has drawn great
attention over the past few years. Dense detectors typically follow a two-stage pipeline by …
attention over the past few years. Dense detectors typically follow a two-stage pipeline by …
Sparse4d: Multi-view 3d object detection with sparse spatial-temporal fusion
Bird-eye-view (BEV) based methods have made great progress recently in multi-view 3D
detection task. Comparing with BEV based methods, sparse based methods lag behind in …
detection task. Comparing with BEV based methods, sparse based methods lag behind in …
Far3d: Expanding the horizon for surround-view 3d object detection
Recently 3D object detection from surround-view images has made notable advancements
with its low deployment cost. However, most works have primarily focused on close …
with its low deployment cost. However, most works have primarily focused on close …
QE-BEV: Query evolution for bird's eye view object detection in varied contexts
3D object detection plays a pivotal role in autonomous driving and robotics, demanding
precise interpretation of Bird's Eye View (BEV) images. The dynamic nature of real-world …
precise interpretation of Bird's Eye View (BEV) images. The dynamic nature of real-world …
Henet: Hybrid encoding for end-to-end multi-task 3d perception from multi-view cameras
Three-dimensional perception from multi-view cameras is a crucial component in
autonomous driving systems, which involves multiple tasks like 3D object detection and …
autonomous driving systems, which involves multiple tasks like 3D object detection and …
Occfusion: Depth estimation free multi-sensor fusion for 3d occupancy prediction
J Zhang, Y Ding, Z Liu - Proceedings of the Asian …, 2024 - openaccess.thecvf.com
Abstract 3D occupancy prediction based on multi-sensor fusion, crucial for a reliable
autonomous driving system, enables fine-grained understanding of 3D scenes. Previous …
autonomous driving system, enables fine-grained understanding of 3D scenes. Previous …
Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors
Multi-camera-based 3D object detection has made notable progress in the past several
years. However we observe that there are cases (eg faraway regions) in which popular 2D …
years. However we observe that there are cases (eg faraway regions) in which popular 2D …