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01/04/2023
MonoEdge: Monocular 3D Object Detection Using Local Perspectives
We propose a novel approach for monocular 3D object detection by leverag...
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06/11/2022
E^2PN: Efficient SE(3)-Equivariant Point Network
This paper proposes a new point-cloud convolution structure that learns ...
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01/24/2022
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving
The task of predicting stochastic behaviors of road agents in diverse en...
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08/19/2021
Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL
The field of Meta Reinforcement Learning (Meta-RL) has seen substantial ...
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07/21/2021
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
This paper proposes a correspondence-free method for point cloud rotatio...
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07/07/2021
Real-time Semantic 3D Dense Occupancy Mapping with Efficient Free Space Representations
A real-time semantic 3D occupancy mapping framework is proposed in this ...
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07/07/2021
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars
A unified neural network structure is presented for joint 3D object dete...
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04/18/2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning
It is essential for an automated vehicle in the field to perform discret...
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03/29/2021
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography
This paper proposes a method to extract the position and pose of vehicle...
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02/23/2021
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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12/02/2020
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning
Safeguard functions such as those provided by advanced emergency braking...
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11/04/2020
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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05/14/2020
SUPER: A Novel Lane Detection System
AI-based lane detection algorithms were actively studied over the last f...
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03/21/2020
Monocular Depth Prediction Through Continuous 3D Loss
This paper reports a new continuous 3D loss function for learning depth ...
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03/18/2020
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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03/03/2020
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization
Reinforcement learning (RL) is attracting increasing interests in autono...
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12/12/2019
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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08/23/2019
Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
Shared Mobility-on-Demand using automated vehicles can reduce energy con...
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06/25/2019
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field
Autonomous vehicles (AV) are expected to navigate in complex traffic sce...
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06/02/2019
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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08/01/2018
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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01/18/2018
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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07/10/2016