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Trajectory Prediction

51 papers with code · Computer Vision

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

Benchmarks

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Greatest papers with code

CoverNet: Multimodal Behavior Prediction using Trajectory Sets

CVPR 2020 nutonomy/nuscenes-devkit

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

TRAJECTORY PREDICTION

SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction

ECCV 2020 eleurent/highway-env

Our second contribution is a novel method that generates diverse predictions while accounting for scene semantics and multi-agent interactions, with constant-time inference independent of the number of agents.

MOTION FORECASTING TRAJECTORY FORECASTING

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.

MOTION FORECASTING MULTI-FUTURE TRAJECTORY PREDICTION SELF-DRIVING CARS TRAJECTORY FORECASTING

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 2018rohanchandra30/Spectral-Trajectory-and-Behavior-Prediction

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

TRAJECTORY PREDICTION

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

CVPR 2020 abduallahmohamed/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