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Trajectory Prediction

32 papers with code · Computer Vision

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CoverNet: Multimodal Behavior Prediction using Trajectory Sets

23 Nov 2019nutonomy/nuscenes-devkit

We instead frame the trajectory prediction problem as classification over a diverse set of trajectories.

TRAJECTORY PREDICTION

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

CVPR 2018 agrimgupta92/sgan

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments.

SELF-DRIVING CARS TRAJECTORY PREDICTION

Joint Monocular 3D Vehicle Detection and Tracking

ICCV 2019 ucbdrive/3d-vehicle-tracking

The framework can not only associate detections of vehicles in motion over time, but also estimate their complete 3D bounding box information from a sequence of 2D images captured on a moving platform.

3D OBJECT DETECTION 3D POSE ESTIMATION AUTONOMOUS VEHICLES MULTIPLE OBJECT TRACKING ONLINE MULTI-OBJECT TRACKING TRAJECTORY PREDICTION

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

6 Nov 2018ApolloScapeAuto/dataset-api

To safely and efficiently navigate in complex urban traffic, autonomous vehicles must make responsible predictions in relation to surrounding traffic-agents (vehicles, bicycles, pedestrians, etc.).

AUTONOMOUS VEHICLES TRAFFIC PREDICTION TRAJECTORY PREDICTION

Convolutional Social Pooling for Vehicle Trajectory Prediction

15 May 2018nachiket92/conv-social-pooling

Forecasting the motion of surrounding vehicles is a critical ability for an autonomous vehicle deployed in complex traffic.

TRAJECTORY PREDICTION

Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs

arXiv 2019 rohanchandra30/Spectral-Trajectory-Prediction

In practice, our approach reduces the average prediction error by more than 54% over prior algorithms and achieves a weighted average accuracy of 91. 2% for behavior prediction.

AUTONOMOUS DRIVING TRAJECTORY PREDICTION

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

27 Feb 2020abduallahmohamed/Social-STGCNN

Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.

AUTONOMOUS VEHICLES TRAJECTORY PREDICTION

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs

CVPR 2019 amiryanj/socialways

We show through experiments on real and synthetic data that the proposed method leads to generate more diverse samples and to preserve the modes of the predictive distribution.

SELF-DRIVING CARS TRAJECTORY PREDICTION

The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs

ICCV 2019 StanfordASL/Trajectron

Developing safe human-robot interaction systems is a necessary step towards the widespread integration of autonomous agents in society.

DECISION MAKING TRAJECTORY PREDICTION