Trajectory prediction is a crucial undertaking in understanding entity
m...
Effective understanding of dynamically evolving multiagent interactions ...
Motion forecasting in highly interactive scenarios is a challenging prob...
This paper addresses a new problem of weakly-supervised online action
se...
This paper considers the problem of multi-modal future trajectory foreca...
We propose a robust solution to future trajectory forecast, which can be...
We propose a framework for predicting future trajectories of traffic age...
Multi-agent interacting systems are prevalent in the world, from pure
ph...
We consider the problem of predicting the future trajectory of scene age...
Predicting an agent's future trajectory is a challenging task given the
...
Predictive models for forecasting future behavior of road agents should
...
This paper presents a real-time lane change control framework of autonom...
We propose DROGON (Deep RObust Goal-Oriented trajectory prediction Netwo...
Inferring relational behavior between road users as well as road users a...
Predicting the future location of vehicles is essential for safety-criti...