Attacks on self-driving cars and their countermeasures: A survey
Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …
Collaboration as a service: Digital-twin-enabled collaborative and distributed autonomous driving
Collaborative driving can significantly reduce the computation offloading from autonomous
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
vehicles (AVs) to edge computing devices (ECDs) and the computation cost of each AV …
Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework
Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
Federated deep learning meets autonomous vehicle perception: Design and verification
Realizing human-like perception is a challenge in open driving scenarios due to corner
cases and visual occlusions. To gather knowledge of rare and occluded instances …
cases and visual occlusions. To gather knowledge of rare and occluded instances …
Urban computing for sustainable smart cities: Recent advances, taxonomy, and open research challenges
IAT Hashem, RSA Usmani, MS Almutairi, AO Ibrahim… - Sustainability, 2023 - mdpi.com
The recent proliferation of ubiquitous computing technologies has led to the emergence of
urban computing that aims to provide intelligent services to inhabitants of smart cities. Urban …
urban computing that aims to provide intelligent services to inhabitants of smart cities. Urban …
Autonomous navigation at unsignalized intersections: A coupled reinforcement learning and model predictive control approach
This paper develops an integrated safety-enhanced reinforcement learning (RL) and model
predictive control (MPC) framework for autonomous vehicles (AVs) to navigate unsignalized …
predictive control (MPC) framework for autonomous vehicles (AVs) to navigate unsignalized …
A survey on controller area network reverse engineering
Controller Area Network (CAN) is a masterless serial bus designed and widely used for the
exchange of mission and time-critical information within commercial vehicles. In-vehicle …
exchange of mission and time-critical information within commercial vehicles. In-vehicle …
Cybersecurity attacks in vehicular sensors
Z El-Rewini, K Sadatsharan, N Sugunaraj… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Today's modern vehicles contain anywhere from sixty to one-hundred sensors and exhibit
the characteristics of Cyber-Physical-Systems (CPS). There is a high degree of coupling …
the characteristics of Cyber-Physical-Systems (CPS). There is a high degree of coupling …
A survey on approximate edge AI for energy efficient autonomous driving services
Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
Achieving lightweight and privacy-preserving object detection for connected autonomous vehicles
Connected autonomous vehicles (CAVs) are capable of capturing high-definition images
from onboard sensors, which can be used to facilitate the detection of objects in the vicinity …
from onboard sensors, which can be used to facilitate the detection of objects in the vicinity …