UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving

05/06/2020
by   Hao He, et al.
0

Trajectory prediction has always been a challenging problem for autonomous driving, since it needs to infer the latent intention from the behaviors and interactions from traffic participants. This problem is intrinsically hard, because each participant may behave differently under different environments and interactions. This key is to effectively model the interlaced influence from both spatial context and temporal context. Existing work usually encodes these two types of context separately, which would lead to inferior modeling of the scenarios. In this paper, we first propose a unified approach to treat time and space dimensions equally for modeling spatio-temporal context. The proposed module is simple and easy to implement within several lines of codes. In contrast to existing methods which heavily rely on recurrent neural network for temporal context and hand-crafted structure for spatial context, our method could automatically partition the spatio-temporal space to adapt the data. Lastly, we test our proposed framework on two recently proposed trajectory prediction dataset ApolloScape and Argoverse. We show that the proposed method substantially outperforms the previous state-of-the-art methods while maintaining its simplicity. These encouraging results further validate the superiority of our approach.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/22/2022

S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

To safely and rationally participate in dense and heterogeneous traffic,...
research
05/18/2020

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

Understanding crowd motion dynamics is critical to real-world applicatio...
research
05/08/2020

STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction

Detecting pedestrians and predicting future trajectories for them are cr...
research
01/26/2021

Probability Trajectory: One New Movement Description for Trajectory Prediction

Trajectory prediction is a fundamental and challenging task for numerous...
research
04/13/2020

SSP: Single Shot Future Trajectory Prediction

We propose a robust solution to future trajectory forecast, which can be...
research
11/24/2016

A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits

We consider an orienteering problem (OP) where an agent needs to visit a...
research
02/27/2022

Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction

Spatio-temporal graphs (ST-graphs) have been used to model time series t...

Please sign up or login with your details

Forgot password? Click here to reset