Comprehensive review of recent advancements in battery technology, propulsion, power interfaces, and vehicle network systems for intelligent autonomous and …

GEM Abro, SABM Zulkifli, K Kumar, N El Ouanjli… - Energies, 2023 - mdpi.com
Numerous recent innovations have been achieved with the goal of enhancing electric
vehicles and the parts that go into them, particularly in the areas of managing energy, battery …

Review of autonomous intelligent vehicles for urban driving and parking

TK Chan, CS Chin - Electronics, 2021 - mdpi.com
With the concept of Internet-of-Things, autonomous vehicles can provide higher driving
efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first …

Road accident data collection systems in developing and developed countries: a review

MBA Rabbani, MA Musarat… - International …, 2022 - publisher.uthm.edu.my
The road accidents trigger major financial loss and casualties to the individual as well as the
state as a whole. The intelligent safety systems are developed to provide all road users with …

[PDF][PDF] Test Scenario Fusion: How to Fuse Scenarios From Accident and Traffic Observation Data.

M Bäumler, G Prokop - IEEE Access, 2024 - researchgate.net
Scenario-based testing will help to validate automated driving systems (ADS) and establish
safer road traffic. To date, most data-driven test scenario generation methods rely primarily …

State-feedback switching linear parameter varying control for vehicle path following under uncertainty and external disturbances

D Shen, Y Chen, L Li - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
This paper presents a novel state-feedback switching linear parameter varying (LPV) control
for automated vehicle path following under model uncertainty and external disturbances. A …

Cascade LPV control for automated vehicle trajectory tracking considering parametric uncertainty and varying velocity

D Shen, L Li, Y Chen, FY Wang - 2022 Australian & New …, 2022 - ieeexplore.ieee.org
Trajectory tracking control is very crucial for autonomous vehicles (AVs). However, its
performance can be degraded due to the time-varying velocities of AVs and their parametric …

Categorizing data-driven methods for test scenario generation to assess automated driving systems

M Bäumler, F Linke, G Prokop - IEEE Access, 2024 - ieeexplore.ieee.org
This survey aims to provide an overview of various methods for generating data-driven test
scenarios for assessing automated driving systems (ADSs). The survey updates the overall …

Expansion of NASS/CDS for characterizing run-off-road crashes

LE Riexinger, HC Gabler - Traffic Injury Prevention, 2020 - Taylor & Francis
Objective Run-off-road (ROR) crashes account for one-third of all annual crash fatalities in
the US. The National Automotive Sampling System Crashworthiness Data System …

Get the best from each data source: How to fuse scenarios from police accident data with scenarios from video-based traffic observations

M Bäumler, G Prokop - IEEE Access, 2023 - ieeexplore.ieee.org
Scenario-based testing will help to validate automated driving systems (ADS) and establish
safer road traffic. To date, most data-driven test scenario generation methods rely primarily …

An Efficient Probabilistic Solution to Mapping Errors in LiDAR-Camera Fusion for Autonomous Vehicles

D Shen, Z Zhang, R Tian, Y Chen… - arXiv preprint arXiv …, 2023 - arxiv.org
LiDAR-camera fusion is one of the core processes for the perception system of current
automated driving systems. The typical sensor fusion process includes a list of coordinate …