A Review of Decision-Making and Planning for Autonomous Vehicles in Intersection Environments
S Chen, X Hu, J Zhao, R Wang, M Qiao - World Electric Vehicle Journal, 2024 - mdpi.com
Decision-making and planning are the core aspects of autonomous driving systems. These
factors are crucial for improving the safety, driving experience, and travel efficiency of …
factors are crucial for improving the safety, driving experience, and travel efficiency of …
Sustainability opportunities and ethical challenges of AI-enabled connected autonomous vehicles routing in urban areas
The advent of Connected Autonomous Vehicles (CAVs) paves the way to a new era of urban
traffic control and management, driven by Artificial Intelligence (AI)-enabled strategies. This …
traffic control and management, driven by Artificial Intelligence (AI)-enabled strategies. This …
Safety-Dominant Stochastic Model Predictive Decision-Making Considering Obstacle Trajectory Uncertainties for Intelligent Vehicles
Robotaxis tend to hesitate when encountering obstacles with uncertain future trajectories
because their decision-making strategies are overly cautious, aiming to ensure robust …
because their decision-making strategies are overly cautious, aiming to ensure robust …
Dynamic Voxels Based on Ego-Conditioned Prediction: An Integrated Spatio-Temporal Framework for Motion Planning
T Zhang, M Fu, W Song, Y Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Prediction is a vital component of motion planning for autonomous vehicles (AVs). By
reasoning about the possible behavior of other target agents, the ego vehicle (EV) can …
reasoning about the possible behavior of other target agents, the ego vehicle (EV) can …