[CVPR 2024] Real-Time Open-Vocabulary Object Detection

PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"

This repository is an official implementation of ADAPT: Action-aware Driving Caption Transformer, accepted by ICRA 2023.

MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection

[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.

This repository is an official implementation of PETR series

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…

Official code base of the BEVDet series .

(CVPR2023) CAPE: Camera View Position Embedding for Multi-View 3D Object Detection

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

The devkit of the nuScenes dataset.

End-to-End Object Detection with Transformers

Official implementation of paper "Cross Modal Transformer: Towards Fast and Robust 3D Object Detection"

Spatial Sparse Convolution Library

OpenMMLab's next-generation platform for general 3D object detection.

OpenMMLab Detection Toolbox and Benchmark

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

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

Official code for BEVDepth.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

LaneNet implementation in PyTorch

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Object detection, 3D detection, and pose estimation using center point detection:

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

A Simple PointPillars PyTorch Implenmentation for 3D Lidar(KITTI) Detection.

A simple, fully convolutional model for real-time instance segmentation.