Beast code in Giters

collector-m's repositories

MapTR

[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Language:PythonMIT100

4d-occ-forecasting

CVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'

Language:Python000

Autopilot-Updating-Notes-

自动驾驶更新笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR2023、特斯拉AI DAY等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。未完待续........ 如有合作意向，请联系 nwaysir@163.com

Apache-2.0000

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

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BEVFormer_tensorrt-

BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).

Language:PythonApache-2.0000

BEVHeight-

An official code release of our CVPR'23 paper, BEVHeight

Language:PythonMIT000

CUDA-FastBEV

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

Language:PythonMIT000

CUDA-PointPillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

Language:C++Apache-2.0000

eagleye

Precise localization based on GNSS and IMU.

Language:C++BSD-3-Clause000

ERASOR2

[RSS'23] The official Implementation of "ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes"

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Fast-BEV

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

Language:PythonNOASSERTION000

FB-BEV

FB-BEV and FB-OCC are vision-centric autonomous driving perception algorithm based on forward-backward view transformation strtegies.

Language:PythonNOASSERTION000

GO-SLAM

[ICCV2023] GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

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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, YUV2RGB, cuOSD,).

Language:C++NOASSERTION000