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An Interaction-aware Evaluation Method for Highly Automated Vehicles
It is important to build a rigorous verification and validation (V V) ...
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Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning
Safeguard functions such as those provided by advanced emergency braking...
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Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss
Object detection and tracking is a key task in autonomy. Specifically, 3...
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SUPER: A Novel Lane Detection System
AI-based lane detection algorithms were actively studied over the last f...
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Monocular Depth Prediction Through Continuous 3D Loss
This paper reports a new continuous 3D loss function for learning depth ...
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Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
Deep reinforcement learning methods have been widely used in recent year...
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Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization
Reinforcement learning (RL) is attracting increasing interests in autono...
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Mcity Data Collection for Automated Vehicles Study
The main goal of this paper is to introduce the data collection effort a...
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Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
Shared Mobility-on-Demand using automated vehicles can reduce energy con...
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Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field
Autonomous vehicles (AV) are expected to navigate in complex traffic sce...
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Longitudinal Trajectory Prediction of Human-driven Vehicles Near Traffic Lights
Predicting future trajectories of human-driven vehicles is a crucial pro...
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Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior
Automated vehicles can change the society by improved safety, mobility a...
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Eco-Routing based on a Data Driven Fuel Consumption Model
A nonparametric fuel consumption model is developed and used for eco-rou...
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Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers
The safety of Automated Vehicles (AVs) must be assured before their rele...
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