50 citations · 50 across the 5 of their papers we have counts for
5 papers
Behavior-Aware Online Prediction of Obstacle Occupancy using Zonotopes
Alvaro Carrizosa-Rendon, Jian Zhou, Erik Frisk +2
Predicting the motion of surrounding vehicles is key to safe autonomous driving, especially in unstructured environments without prior information. This paper proposes a novel onli…
Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging
Jian Zhou, Yulong Gao, Björn Olofsson +1
In this paper, we develop an uncertainty-aware decision-making and motion-planning method for an autonomous ego vehicle in forced merging scenarios, considering the motion uncertai…
Observer-Based Environment Robust Control Barrier Functions for Safety-critical Control with Dynamic Obstacles
Ying Shuai Quan, Jian Zhou, Erik Frisk +1
This paper proposes a safety-critical controller for dynamic and uncertain environments, leveraging a robust environment control barrier function (ECBF) to enhance the robustness a…
Robust Predictive Motion Planning by Learning Obstacle Uncertainty
Jian Zhou, Yulong Gao, Ola Johansson +2
Safe motion planning for robotic systems in dynamic environments is nontrivial in the presence of uncertain obstacles, where estimation of obstacle uncertainties is crucial in pred…
Interaction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions
Jian Zhou, Björn Olofsson, Erik Frisk
This paper proposes an interaction and safety-aware motion-planning method for an autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates the abil…