Milestones in autonomous driving and intelligent vehicles: Survey of surveys
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …
due to the convenience, safety, and economic benefits. Although a number of surveys have …
Learning for vehicle-to-vehicle cooperative perception under lossy communication
Deep learning has been widely used in intelligent vehicle driving perception systems, such
as 3D object detection. One promising technique is Cooperative Perception, which …
as 3D object detection. One promising technique is Cooperative Perception, which …
Behavioral intention prediction in driving scenes: A survey
In the driving scene, the road participants usually show frequent interaction and intention
understanding with the surrounding. Ego-agent (each road participant itself) conducts the …
understanding with the surrounding. Ego-agent (each road participant itself) conducts the …
Mixed cloud control testbed: Validating vehicle-road-cloud integration via mixed digital twin
Reliable and efficient validation technologies are critical for the recent development of multi-
vehicle cooperation and vehicle-road-cloud integration. In this paper, we introduce our …
vehicle cooperation and vehicle-road-cloud integration. In this paper, we introduce our …
Parallel Training: An ACP-based Training Framework for Iterative Learning in Uncertain Driving Spaces
The traffic environment and driving behaviors are of great complexity and uncertainty in our
physical world. Therefore, training in the digital world with low cost and diverse complexities …
physical world. Therefore, training in the digital world with low cost and diverse complexities …
[HTML][HTML] Eco-Driving Strategy Implementation for Ultra-Efficient Lightweight Electric Vehicles in Realistic Driving Scenarios
This paper aims to provide a quantitative assessment of the effect of driver action and road
traffic conditions in the real implementation of eco-driving strategies. The study specifically …
traffic conditions in the real implementation of eco-driving strategies. The study specifically …
Vetaverse: Technologies, Applications, and Visions toward the Intersection of Metaverse, Vehicles, and Transportation Systems
Since 2021, the term" Metaverse" has been the most popular one, garnering a lot of interest.
Because of its contained environment and built-in computing and networking capabilities, a …
Because of its contained environment and built-in computing and networking capabilities, a …
DSiV: Data Science for Intelligent Vehicles
Data science (DS) devotes to extract useful data from noisy one to form actionable insights. It
has broad applications in many domains such as internet search, tourism and social media …
has broad applications in many domains such as internet search, tourism and social media …
Global-Local-Feature-Fused Driver Speech Emotion Detection for Intelligent Cockpit in Automated Driving
W Li, J Xue, R Tan, C Wang, Z Deng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Affective interaction between the intelligent cockpit and humans is becoming an emerging
topic full of opportunities. Robust recognition of the driver's emotions is the first step for …
topic full of opportunities. Robust recognition of the driver's emotions is the first step for …
A Novel Heterogeneous Network for Modeling Driver Attention With Multi-Level Visual Content
Driver attention modeling is a crucial technique in building human-centric intelligent driving
systems. Considering the human visual mechanism, this study leverages multi-level visual …
systems. Considering the human visual mechanism, this study leverages multi-level visual …