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02/15/2023
Embodied Footprints: A Safety-guaranteed Collision Avoidance Model for Numerical Optimization-based Trajectory Planning
Numerical optimization-based methods are among the prevalent trajectory ...
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03/22/2021
Applications of Game Theory in Vehicular Networks: A Survey
In the Internet of Things (IoT) era, vehicles and other intelligent comp...
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12/13/2020
MSAF: Multimodal Split Attention Fusion
Multimodal learning mimics the reasoning process of the human multi-sens...
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11/02/2020
Multi-View Adaptive Fusion Network for 3D Object Detection
3D object detection based on LiDAR-camera fusion is becoming an emerging...
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09/07/2020
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles
Knowledge transfer is a promising concept to achieve real-time decision-...
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08/26/2020
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon
Decision-making strategy for autonomous vehicles de-scribes a sequence o...
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08/14/2020
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning
Decision-making module enables autonomous vehicles to reach appropriate ...
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08/04/2020
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles
Deep reinforcement learning (DRL) is becoming a prevalent and powerful m...
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07/26/2020
Defining Digital Quadruplets in the Cyber-Physical-Social Space for Parallel Driving
Parallel driving is a novel framework to synthesize vehicle intelligence...
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07/24/2020
Adaptive Energy Management for Real Driving Conditions via Transfer Reinforcement Learning
This article proposes a transfer reinforcement learning (RL) based adapt...
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07/16/2020
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning
Autonomous driving is a promising technology to reduce traffic accidents...
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07/16/2020
Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles
As a combination of various kinds of technologies, autonomous vehicles c...
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07/16/2020
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study
This work optimizes the highway decision making strategy of autonomous v...
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07/13/2020
CenterNet3D:An Anchor free Object Detector for Autonomous Driving
Accurate and fast 3D object detection from point clouds is a key task in...
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06/01/2020
Game Theoretic Approaches in Vehicular Networks: A Survey
In the era of the Internet of Things (IoT), vehicles and other intellige...
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05/20/2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Recently, the advancement of deep learning in discriminative feature lea...
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04/10/2020
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Autonomous vehicles are experiencing rapid development in the past few y...
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04/22/2019
A Right-of-Way Based Strategy to Implement Safe and Efficient Driving at Non-Signalized Intersections for Automated Vehicles
Non-signalized intersection is a typical and common scenario for connect...
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03/20/2019