[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

Released code for Objects are Different: Flexible Monocular 3D Object Detection, CVPR21

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

The official repository for BEVerse

Official implementation of SRCN3D: Sparse R-CNN 3D Surround-View Cameras 3D Object Detection and Tracking for Autonomous Driving

Official code for BEVDepth.

[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion

[ECCV 2022] DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.

[ECCV 2022] Learning Ego 3D Representation as Ray Tracing

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

Densely Constrained Depth Estimator for Monocular 3D Object Detection (ECCV2022)

Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

BEVDet implemented by TensorRT, C++； Achieving real-time performance on Orin

TensorRT deploy and PTQ/QAT tools development for FastBEV, total time only need 6.9ms!!!

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection

Layout-Guided multi-view driving scene video generation with latent diffusion model

[IROS 2024 Oral Presentation] WidthFormer: Toward Efficient Transformer-based BEV View Transformation

Code for "Object as Query: Lifting any 2D Object Detector to 3D Detection"

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

[AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection

[AAAI24]This is the implementation for the paper M-BEV: Masked BEV Perception for Robust Autonomous Driving

[CVPR 2024] RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection

The official repo for [AAAI 2024] "SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection""