#
perception
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Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
apollo
rocket
perception
heart
self-driving-car
baidu
canbus
cyber
autonomous-driving
autonomous-vehicles
dig
apollo-notes
heart-eyes
dreamview
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Updated
May 23, 2020
Teach-Repeat-Replan: A Complete and Robust System for Aggressive Flight in Complex Environments
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Updated
May 19, 2020 - C++
Object detection / tracking / fusion based on Apollo r3.0.0 perception module in ROS
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Updated
Apr 4, 2019 - C++
Research platform for 3D object detection in PyTorch.
real-time
detection
voxel
point-cloud
pytorch
perception
lidar
codebase
object-detection
autonomous-vehicles
3d-deep-learning
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Updated
Mar 10, 2020 - Python
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
computer-vision
deep-learning
torch
perception
silhouette
reconstruction
depth-maps
3d
3d-reconstruction
variational-autoencoder
generative-models
3d-shapes
2d-3d
3d-generation
representation-sharing
2d-to-3d
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Updated
Feb 22, 2020 - Lua
egordon
commented
Feb 11, 2020
#546 adds a lengthy pattern that gets the inverse of a state before composing it. Instead we should have an inverse composition (i.e. subtraction) function implemented between states for brevity.
A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).
python
deep-neural-networks
deep-learning
tensorflow
pytorch
perception
perceptual
image-quality-assessment
perceptual-metric
perceptual-quality
perceptual-similarity
perceptual-error
visual-perception
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Updated
May 21, 2020 - Python
Text to abstract art generation for the holidays!
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Updated
Jan 29, 2019 - Python
Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
computer-vision
perception
faster-rcnn
object-detection
autonomous-driving
simulated-data
kitti-dataset
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Updated
Sep 12, 2017 - Python
21
dominikandreas
commented
Apr 26, 2017
Hi, first of all thanks for sharing your work, I really appreciate it!
Would it be possible to add some documentation on how to compile the project and what the dependencies are?
Simulations for TurtleBot3
opencv
package
mobile
robot
navigation
ros
perception
dynamixel
gazebo
slam
turtlebot
robotis
turtlebot3
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Updated
May 15, 2020 - C++
Integrated ROS capabilities for planning, predicate inference, gripper control, and perception for use with the KUKA LBR IIWA and Universal Robots.
ui
robot
simulation
costar
lbr-iiwa
kuka-lbr
gripper
universal-robots
perception
grl
predicator
behavior-tree
user-interface
industrial-automation
collaborative-robot
dvrk
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Updated
May 30, 2019 - C++
perception
concept
piece
copycat
cognition
farg
fluid-concepts
computational-cognitive-science
analogies
douglas-hofstadter
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Updated
Mar 21, 2020 - Scheme
CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
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Updated
Apr 16, 2020
Train generalizable policies for kit assembly with self-supervised dense correspondence learning.
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Updated
Feb 12, 2020 - Python
Autonomous Driving with TurtleBot3
opencv
package
mobile
robot
navigation
ros
perception
dynamixel
gazebo
slam
turtlebot
robotis
turtlebot3
-
Updated
Nov 15, 2019 - Python
interfaces and algorithms for event based cameras, lidars, and actuators
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Updated
Mar 24, 2020 - MATLAB
An OpenAI gym wrapper for CARLA simulator
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Updated
May 19, 2020 - Python
Joint Perception and Planning For Efficient Obstacle Avoidance Using Stereo Vision
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Updated
Jan 6, 2019 - C++
Scripts showcasing filtering techniques applied to point cloud data.
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Updated
Aug 20, 2018 - Python
A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.
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Updated
Apr 10, 2019 - Makefile
Vanishing Point Guided Network for lane detection, with post processing
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Updated
Jan 26, 2019 - Jupyter Notebook
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight
robot
deep-learning
drone
neural-network
robotics
detection
nvidia
perception
gap
autonomous
minimalist
bee
quadrotor
parrot-bebop
bio-inspired
prg
unmanned-aerial-vehicle
nvidia-tx2
gapflyt
active-vision
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Updated
May 15, 2020 - Python
An Implementation of the Driving Scene Perception Network (DSPNet)
deep-learning
mxnet
perception
object-detection
autonomous-driving
semantic-segmentation
multi-task-learning
distance-estimation
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Updated
Apr 18, 2018 - Python
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Updated
May 8, 2020 - C++
A python implementation for a LogGabor filtering and pyramid representation
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Updated
Mar 4, 2020 - Jupyter Notebook
A set of Python scripts to evaluate the Automotive Datasets provided by Prophesee
machine-learning
computer-vision
machine-learning-algorithms
dataset
perception
pattern-recognition
machinelearning
automotive
autonomous-driving
event-based
perceptron-learning-algorithm
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Updated
Feb 6, 2020 - Python
An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion
control
motion-planning
ros
perception
slam
sensor-fusion
odometry
lidar-camera-calibration
pose-graph-optimization
-
Updated
Sep 3, 2019 - C++
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Hi, I'm a starter and trying to learn how to customize or modify my own mediapipe line. I used Neural Networks to train landmarks which extract from mediapipe. Is there any way I can put my trained model back to mediapipe to implementing real-time gesture recognition?Thanks for your help.