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20182023
most citedUncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving

37 citations · 92 across the 12 of their papers we have counts for

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Showing cs.CVShow all

6 papers · 1 filter

cs.CV2023

PBP: Path-based Trajectory Prediction for Autonomous Driving

Sepideh Afshar, Nachiket Deo, Akshay Bhagat +5

Trajectory prediction plays a crucial role in the autonomous driving stack by enabling autonomous vehicles to anticipate the motion of surrounding agents. Goal-based prediction mod…

cs.CV2022★ 2 cited

Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss

Titas Chakraborty, Akshay Bhagat, Henggang Cui

Robust motion forecasting of the dynamic scene is a critical component of an autonomous vehicle. It is a challenging problem due to the heterogeneity in the scene and the inherent…

cs.CV2020★ 2 cited

Uncertainty-Aware Vehicle Orientation Estimation for Joint Detection-Prediction Models

Henggang Cui, Fang-Chieh Chou, Jake Charland +2

Object detection is a critical component of a self-driving system, tasked with inferring the current states of the surrounding traffic actors. While there exist a number of studies…

cs.CV2020★ 1 cited

Ellipse Loss for Scene-Compliant Motion Prediction

Henggang Cui, Hoda Shajari, Sai Yalamanchi +1

Motion prediction is a critical part of self-driving technology, responsible for inferring future behavior of traffic actors in autonomous vehicle's surroundings. In order to ensur…

cs.CV2020

Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization

Zhaoen Su, Chao Wang, Henggang Cui +3

A commonly-used representation for motion prediction of actors is a sequence of waypoints (comprising positions and orientations) for each actor at discrete future time-points. Whi…

cs.CV2020

MultiXNet: Multiclass Multistage Multimodal Motion Prediction

Nemanja Djuric, Henggang Cui, Zhaoen Su +13

One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the nea…