Stars
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…
A general map auto annotation framework based on MapTR, with high flexibility in terms of spatial scale and element type
[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping", ECCV 2024 (Oral)
RepViT: Revisiting Mobile CNN From ViT Perspective [CVPR 2024] and RepViT-SAM: Towards Real-Time Segmenting Anything
[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
TensorRT plugin for 3-dimension grid sample operator
A sample for onnxparser working with trt user defined plugins for TRT7.0
A professional cross-platform SSH/Sftp/Shell/Telnet/Serial terminal.
A pytorch quantization backend for optimum
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
Dataset for Vehicle Rear Light (Taillight) Detection and Signal Recognition
Pytorch-->onnx-->TensorRT; CUDA11, CUDNN8, TensorRT8
C++ implementation of DBSCAN clustering algorithm
Simple samples for TensorRT programming
Implementation of the ROS Middleware (rmw) Interface using eProsima's Fast RTPS.
Official code for "Recursive Video Lane Detection", ICCV 2023
awesome-autonomous-driving