Self-driving cars: A survey
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …
cars developed since the DARPA challenges, which are equipped with an autonomy system …
The perception system of intelligent ground vehicles in all weather conditions: A systematic literature review
Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain
causes serious accidents worldwide. Therefore, it is important to be aware of the impact of …
causes serious accidents worldwide. Therefore, it is important to be aware of the impact of …
A deep learning approach to traffic lights: Detection, tracking, and classification
Reliable traffic light detection and classification is crucial for automated driving in urban
environments. Currently, there are no systems that can reliably perceive traffic lights in real …
environments. Currently, there are no systems that can reliably perceive traffic lights in real …
Vision for looking at traffic lights: Issues, survey, and perspectives
This paper presents the challenges that researchers must overcome in traffic light
recognition (TLR) research and provides an overview of ongoing work. The aim is to …
recognition (TLR) research and provides an overview of ongoing work. The aim is to …
Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system
F You, R Zhang, G Lie, H Wang, H Wen, J Xu - Expert Systems with …, 2015 - Elsevier
Lane change maneuver is one of the most conventional behaviors in driving. Unsafe lane
change maneuvers are key factor for traffic accidents and traffic congestion. For drivers' …
change maneuvers are key factor for traffic accidents and traffic congestion. For drivers' …
Deep CNN-based real-time traffic light detector for self-driving vehicles
Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current
transportation systems, Traffic Light Detection (TLD) is still considered an important module …
transportation systems, Traffic Light Detection (TLD) is still considered an important module …
A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers
This paper proposes a novel approach to dynamically manage the traffic lights cycles and
phases in an isolated intersection. The target of the work is a system that, comparing with …
phases in an isolated intersection. The target of the work is a system that, comparing with …
[PDF][PDF] A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges.
Understanding the terrain in the upcoming path of a ground robot is one of the most
challenging problems in field robotics. Terrain and traversability analysis is a …
challenging problems in field robotics. Terrain and traversability analysis is a …
Autonomous path tracking control of intelligent electric vehicles based on lane detection and optimal preview method
X Zhang, X Zhu - Expert Systems with Applications, 2019 - Elsevier
In this paper, a novel autonomous tracking control (ATC) of intelligent electric vehicles (IEVs)
based on lane detection and sliding-mode control (SMC) is innovatively developed to …
based on lane detection and sliding-mode control (SMC) is innovatively developed to …
A study on recent developments and issues with obstacle detection systems for automated vehicles
X Yu, M Marinov - Sustainability, 2020 - mdpi.com
This paper reviews current developments and discusses some critical issues with obstacle
detection systems for automated vehicles. The concept of autonomous driving is the driver …
detection systems for automated vehicles. The concept of autonomous driving is the driver …