DNN surgery: Accelerating DNN inference on the edge through layer partitioning
Recent advances in deep neural networks have substantially improved the accuracy and
speed of various intelligent applications. Nevertheless, one obstacle is that DNN inference …
speed of various intelligent applications. Nevertheless, one obstacle is that DNN inference …
Dme-driver: Integrating human decision logic and 3d scene perception in autonomous driving
In the field of autonomous driving, two important features of autonomous driving car systems
are the explainability of decision logic and the accuracy of environmental perception. This …
are the explainability of decision logic and the accuracy of environmental perception. This …
A lane-level localization method via the lateral displacement estimation model on expressway
The gradual proliferation of high-definition (HD) maps has played a pivotal role in the
advancement of intelligent vehicles. However, a considerable number of vehicles still face …
advancement of intelligent vehicles. However, a considerable number of vehicles still face …
GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management
The escalating waste volume due to urbanization and population growth has underscored
the need for advanced waste sorting and recycling methods to ensure sustainable waste …
the need for advanced waste sorting and recycling methods to ensure sustainable waste …
A multi-modal vehicle trajectory prediction framework via conditional diffusion model: A coarse-to-fine approach
Z Li, H Liang, H Wang, X Zheng, J Wang… - Knowledge-Based …, 2023 - Elsevier
Accurate prediction of the future motion of surrounding vehicles is crucial for ensuring the
safety of motion planning in autonomous vehicles. However, it is challenging to perform …
safety of motion planning in autonomous vehicles. However, it is challenging to perform …
Safe and energy-saving vehicle-following driving decision-making framework of autonomous vehicles
Y Zhang, T You, J Chen, C Du, Z Ai… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The safety and energy efficiency of autonomous vehicles in the vehicle-following driving
scenario is seriously affected by the decision-making framework. This article proposes a …
scenario is seriously affected by the decision-making framework. This article proposes a …
A journey towards fully autonomous driving-fueled by a smart communication system
Autonomous driving solutions stretch over different disciplines and technologies eg,
sensors, communication, computation, machine learning, data analytic, etc., that need to be …
sensors, communication, computation, machine learning, data analytic, etc., that need to be …
A cost-driven method for deep-learning-based hardware trojan detection
The Cyber-Physical System and even the Metaverse will become the second space in which
human beings live. While bringing convenience to human beings, it also brings many …
human beings live. While bringing convenience to human beings, it also brings many …
Constructing maps for autonomous robotics: An introductory conceptual overview
Mapping the environment is a powerful technique for enabling autonomy through
localization and planning in robotics. This article seeks to provide a global overview of …
localization and planning in robotics. This article seeks to provide a global overview of …
Data privacy threat modelling for autonomous systems: A survey from the gdpr's perspective
Artificial Intelligence-based applications have been increasingly deployed in every field of
life including smart homes, smart cities, healthcare services, and autonomous systems …
life including smart homes, smart cities, healthcare services, and autonomous systems …