Trajectory Prediction

109 papers with code • 24 benchmarks • 22 datasets

Trajectory Prediction is the problem of predicting the short-term (1-3 seconds) and long-term (3-5 seconds) spatial coordinates of various road-agents such as cars, buses, pedestrians, rickshaws, and animals, etc. These road-agents have different dynamic behaviors that may correspond to aggressive or conservative driving styles.

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

Greatest papers with code

CoverNet: Multimodal Behavior Prediction using Trajectory Sets

nutonomy/nuscenes-devkit CVPR 2020

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

agrimgupta92/sgan CVPR 2018

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.

Motion Forecasting Multi-future Trajectory Prediction +2

Joint Monocular 3D Vehicle Detection and Tracking

ucbdrive/3d-vehicle-tracking ICCV 2019

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 +4

Monocular Quasi-Dense 3D Object Tracking

SysCV/qd-3dt 12 Mar 2021

Experiments on our proposed simulation data and real-world benchmarks, including KITTI, nuScenes, and Waymo datasets, show that our tracking framework offers robust object association and tracking on urban-driving scenarios.

3D Object Tracking Autonomous Driving +2

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

ApolloScapeAuto/dataset-api 6 Nov 2018

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 +1

Peeking into the Future: Predicting Future Person Activities and Locations in Videos

google/next-prediction CVPR 2019

To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.

Future prediction Human motion prediction +4

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

abduallahmohamed/Social-STGCNN CVPR 2020

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

Autonomous Vehicles Trajectory Prediction

OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets

crowdbotp/OpenTraj 2 Oct 2020

Human Trajectory Prediction (HTP) has gained much momentum in the last years and many solutions have been proposed to solve it.

Self-Driving Cars Trajectory Forecasting