63 citations · 74 across the 9 of their papers we have counts for
9 papers
Control Barrier--Value Functions under Partial Observability: Safety Guarantees via Conformal Prediction
Niloofar Jahanshahi, Mo Chen
This paper studies safety analysis and controller synthesis for partially observable nonlinear control systems. We extend the control barrier--value function (CBVF) framework, whic…
Trajectory Planning Using Reinforcement Learning for Interactive Overtaking Maneuvers in Autonomous Racing Scenarios
Levent Ögretmen, Mo Chen, Phillip Pitschi +1
Conventional trajectory planning approaches for autonomous racing are based on the sequential execution of prediction of the opposing vehicles and subsequent trajectory planning fo…
DMODE: Differential Monocular Object Distance Estimation Module without Class Specific Information
Pedram Agand, Michael Chang, Mo Chen
Utilizing a single camera for measuring object distances is a cost-effective alternative to stereo-vision and LiDAR. Although monocular distance estimation has been explored in the…
Real-Time Formal Verification of Autonomous Systems With An FPGA
Minh Bui, Michael Lu, Reza Hojabr +2
Hamilton-Jacobi reachability analysis is a powerful technique used to verify the safety of autonomous systems. This method is very good at handling non-linear system dynamics with…
LBGP: Learning Based Goal Planning for Autonomous Following in Front
Payam Nikdel, Richard Vaughan, Mo Chen
This paper investigates a hybrid solution which combines deep reinforcement learning (RL) and classical trajectory planning for the following in front application. Here, an autonom…
Recognizing and Tracking High-Level, Human-Meaningful Navigation Features of Occupancy Grid Maps
Payam Nikdel, Richard Vaughan
This paper describes a system whereby a robot detects and track human-meaningful navigational cues as it navigates in an indoor environment. It is intended as the sensor front-end…