We tackle this problem by introducing MPC-PF: a novel potential field-based trajectory predictor that incorporates social interaction and is able to tradeoff ...
Abstract—Predicting object motion behaviour is a challeng- ing but crucial task for safe decision making and path planning for an autonomous vehicle.
We tackle this problem by introducing MPC-PF: a novel potential field-based trajectory predictor that incorporates social interaction via agent-agent and agent- ...
Oct 2022 Paper Published @ IROS 2022 - I will be presenting our work MPC-PF: Social Interaction Aware Trajectory Prediction of Dynamic Objects for Autonomous ...
The primary goal of this thesis project is to develop a robust object motion prediction framework enabling safe decision making for autonomous vehicles in ...
MPC-PF: Social Interaction Aware Trajectory Prediction of Dynamic Objects for Autonomous Driving Using Potential Fields. NP Bhatt, A Khajepour, E Hashemi.
Feb 23, 2021 · In this section, we present our interaction and obstacle- aware trajectory prediction method and incorporate it with the MPC framework to ...
People also ask
What is trajectory prediction for autonomous driving?
What are the predictions for autonomous driving?
MPC-PF: Socially and Spatially Aware Object Trajectory Prediction for Autonomous Driving Systems Using Potential Fields · Neel P. Bhatt · Amir Khajepour · Ehsan ...
[C5] MPC‑PF: Social Interaction Aware Trajectory Prediction of Dynamic Objects for Autonomous Driving Using Potential Fields. Neel P. Bhatt, Amir Khajepour ...
... Trajectory Prediction for Autonomous Driving on Unstructured Roads using ... Aware Trajectory Prediction for Autonomous Driving in Complex Traffic Scenarios ...