[HTML][HTML] Perception, planning, control, and coordination for autonomous vehicles
Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …
systems, as they offer potential for additional safety, increased productivity, greater …
Parallel driving in CPSS: A unified approach for transport automation and vehicle intelligence
The emerging development of connected and automated vehicles imposes a significant
challenge on current vehicle control and transportation systems. This paper proposes a …
challenge on current vehicle control and transportation systems. This paper proposes a …
Parallel intelligence for smart mobility in cyberphysical social system-defined metaverses: A report on the international parallel driving alliance
On 27 June 2018, the International Parallel Driving Alliance (iPDA) inaugural conference
was held in Changshu, China. The iPDA consists of 24 well-known institutions, eg, the …
was held in Changshu, China. The iPDA consists of 24 well-known institutions, eg, the …
Pre-deployment testing of low speed, Urban Road Autonomous Driving in a Simulated Environment
Low speed autonomous shuttles emulating SAE Level L4 automated driving using human
driver assisted autonomy have been operating in geo-fenced areas in several cities in the …
driver assisted autonomy have been operating in geo-fenced areas in several cities in the …
Digital twin empowered mobile edge computing for intelligent vehicular lane-changing
With automated driving forthcoming, lane-changing for Connected and Automated Vehicles
(CAVs) has received wide attention. The main challenge is that lane-changing requires not …
(CAVs) has received wide attention. The main challenge is that lane-changing requires not …
Multi-agent connected autonomous driving using deep reinforcement learning
P Palanisamy - 2020 International Joint Conference on Neural …, 2020 - ieeexplore.ieee.org
The capability to learn and adapt to changes in the driving environment is crucial for
developing autonomous driving systems that are scalable beyond geo-fenced operational …
developing autonomous driving systems that are scalable beyond geo-fenced operational …
X-CAR: An experimental vehicle platform for connected autonomy research
Autonomous vehicles (AVs) promise a future with safer, cleaner, more efficient, and more
reliable transportation. However, the current approach to autonomy has focused on building …
reliable transportation. However, the current approach to autonomy has focused on building …
A new era of mobility: Exploring digital twin applications in autonomous vehicular systems
SMM Hossain, SK Saha, S Banik… - 2023 IEEE World AI IoT …, 2023 - ieeexplore.ieee.org
Digital twins (DTs) are digital copies of real-world items or processes that can learn from
their surroundings to more accurately reflect, validate, and mimic the physical twin's …
their surroundings to more accurately reflect, validate, and mimic the physical twin's …
Leveraging digital twin and drl for collaborative context offloading in c-v2x autonomous driving
Digital Twin (DT) technology, as a promising technology, can achieve the vehicular contexts
mapping of the virtual world and physical world in a collaborative autonomous driving (CAD) …
mapping of the virtual world and physical world in a collaborative autonomous driving (CAD) …
A survey of deep learning techniques for autonomous driving
The last decade witnessed increasingly rapid progress in self‐driving vehicle technology,
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …
mainly backed up by advances in the area of deep learning and artificial intelligence (AI) …