MotionNet

Motion forecasting model

Develops accurate perception and motion prediction models for autonomous vehicles based on 2D maps

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

GitHub

169 stars
15 watching
25 forks
last commit: over 4 years ago
Linked from 1 awesome list

autonomous-drivingcvpr2020motion-predictionperceptionpytorch

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
agrimgupta92/sgan An implementation of a Generative Adversarial Network for predicting human trajectories in social scenarios. 828
vonfeng/deepmove A PyTorch-based implementation of a predictive model for human mobility patterns using attention mechanisms and recurrent neural networks. 144
mrgemy95/visual-interaction-networks-pytorch An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. 166
driving-behavior/dbnet Provides data and tools for machine learning models to predict driving behaviors from sensor data. 213
songtianyi/go-mxnet-predictor A Go library providing a direct interface to MXNet's C API for deep learning inference 55
aliaksandrsiarohin/monkey-net A deep learning framework for animating objects in videos and images using motion transfer 473
dougsm/ggcnn A deep learning-based system for generating precise grasp poses for robots in real-time 514
junyanz/realismcnn Predicts and improves visual realism in composite images using deep learning techniques 64
zhouyanzhao/orn A deep learning framework implementation of an oriented response network for visual recognition tasks 223
zhiwu-huang/lienet This project uses deep learning and Lie group theory to recognize actions from skeleton data 64
yjzhang96/motion-etr A deep learning framework to estimate exposure trajectories from motion-blurred images and recover the original sharp image 33
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 363
hszhao/pspnet A PyTorch implementation of a deep learning model for semantic image segmentation 1,593
yjxiong/tsn-pytorch A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding. 1,066
atomistic-machine-learning/dtnn An open-source Python framework for developing machine learning models to predict quantum-mechanical observables of molecular systems. 77