Alternatives and similar repositories for MeetingNotes

Users that are interested in MeetingNotes are comparing it to the libraries listed below

• ayushais / DBLiDARNet
  ☆28Updated 5 years ago
• Livox-SDK / livox_lane_detection
  ☆66Updated 4 years ago
• Sophia-11 / Autonomous-driving
  无人驾驶资源收集
  ☆32Updated 6 years ago
• robot-learning-freiburg / Panoptic-Tracking
  ☆25Updated 5 years ago
• hova88 / Lidardet
  A rewrite verson of Lidar detection deeplearning framework (PointPillars) for multi device fast applications ((pc train and vehicle infer…
  ☆29Updated 4 years ago
• Durant35 / stanford_self_driving_car_learning
  Stanford Code From Cars That Entered DARPA Grand Challenges
  ☆19Updated 7 years ago
• k0suke-murakami / kitti_pretrained_point_pillars
  ☆50Updated 6 years ago
• Sreeni1204 / Waymo_Kitti_converter
  Scripts for converting Waymo Open Dataset to Kitti dataset format,
  ☆20Updated 2 years ago
• patrick-llgc / autonomous_driving_notes
  Notes on the resources I read on autonomous driving
  ☆21Updated 6 years ago
• atyshka / Lasernet
  Implementing Uber's Lasernet LIDAR detector in Tensorflow 2.0
  ☆21Updated 4 years ago
• Po-Jen / awesome-3d-multi-object-tracking
  A curated list of awesome 3DMOT code and resources.
  ☆22Updated 3 years ago
• AndyYuan96 / PointCloudDynamicVoxel
  ☆55Updated 5 years ago
• lgsvl / second-ros
  Training Deep Neural Networks with Synthetic Data using SVL Simulator
  ☆48Updated 5 years ago
• satyenrajpal / Complex-YOLO
  Implementation of Complex-YOLO 3D in PyTorch
  ☆11Updated 6 years ago
• feicay / LaserNet
  ☆12Updated 6 years ago
• brian-h-wang / kitti-3d-annotator
  Annotation tool for labeling KITTI dataset 3D ground truth instance segmentation.
  ☆29Updated 6 years ago
• ika-rwth-aachen / EviLOG
  TensorFlow training pipeline and dataset for prediction of evidential occupancy grid maps from lidar point clouds.
  ☆49Updated last year
• kosuke55 / train_baiducnn
  Train lidar apollo instance segmentation CNN
  ☆53Updated last year
• masszhou / second_lite
  object detection with lidar point cloud, with real-time performance. This is a simplified version of SECOND project by Yan Yan
  ☆16Updated 5 years ago
• manila95 / AutoLay
  A novel benchmark dataset for Monocular Layout prediction
  ☆41Updated 2 years ago
• StanfordVL / JRMOT_ROS
  Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
  ☆158Updated 2 years ago
• Owen-Liuyuxuan / visualDet3D_ros
  A naive ROS interface for visualDet3D.
  ☆28Updated 2 years ago
• yukkysaito / autoware_perception
  ☆48Updated 6 years ago
• peiyunh / opcseg
  Learning to Optimally Segment Point Clouds, RAL/ICRA 2020
  ☆24Updated 4 years ago
• pablopalafox / semantic-depth
  Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines
  ☆43Updated 2 years ago
• quan-dao / track_with_confidence
  Official implementation of the algorithm presented in the paper "A Two-Stage Data Association Approach for 3D Multi-Object Tracking”
  ☆17Updated 4 years ago
• lucasjinreal / 3d_detection_kit
  Toolkit to Explore 3D data for 3D object detection, point cloud visualization, bev map gen etc. Using KITTI as dummy data
  ☆23Updated 2 years ago
• hlwang1124 / GMRPD
  A Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB
  ☆36Updated 4 years ago
• yanglei18 / Awesome-Occupancy-Network
  Awesome papers and codebases about Occupancy Network in Tesla AI Day 2022
  ☆26Updated 2 years ago
• jckuri / Sensor-Fusion-and-Object-Tracking-2
  Sensor-Fusion-and-Object-Tracking-2
  ☆10Updated 4 years ago