research
∙
05/28/2023
Towards Autonomous and Safe Last-mile Deliveries with AI-augmented Self-driving Delivery Robots
In addition to its crucial impact on customer satisfaction, last-mile de...
share
research
∙
05/18/2023
DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities
With the electrification of transportation, the rising uptake of electri...
research
∙
02/28/2023
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion
Persistent multi-object tracking (MOT) allows autonomous vehicles to nav...
research
∙
02/25/2023
Dual Formulation for Chance Constrained Stochastic Shortest Path with Application to Autonomous Vehicle Behavior Planning
Autonomous vehicles face the problem of optimizing the expected performa...
research
∙
11/29/2022
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning
A major challenge in machine learning is resilience to out-of-distributi...
research
∙
10/03/2022
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection
In transportation networks, where traffic lights have traditionally been...
research
∙
04/10/2022
A Fully Polynomial Time Approximation Scheme for Fixed-Horizon Constrained Stochastic Shortest Path Problem under Local Transitions
The fixed-horizon constrained stochastic shortest path problem (C-SSP) i...
research
∙
10/06/2019