High-precision positioning, perception and safe navigation for automated heavy-duty mining trucks
Autonomous driving technology has achieved significant breakthroughs in open scenarios,
enabling the deployment of excellent positioning, detection, and navigation algorithms on …
enabling the deployment of excellent positioning, detection, and navigation algorithms on …
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
Multi-step Continuous Decision Making and Planning in Uncertain Dynamic Scenarios through Parallel Spatio-temporal Trajectory Searching
Autonomous driving in urban scenarios faces uncertain dynamic changes, especially in
China, where a dense mixture of cars, cyclists and pedestrians travel together on roads with …
China, where a dense mixture of cars, cyclists and pedestrians travel together on roads with …
Spatiotemporal receding horizon control with proactive interaction towards safe and efficient autonomous driving in dense traffic
In dense traffic scenarios, ensuring safety while keeping high task performance for
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
autonomous driving is a critical challenge. To address this problem, this paper proposes a …
Risk-Aware Net: An Explicit Collision-Constrained Framework for Enhanced Safety Autonomous Driving
Z Yu, M Zhu, X Chu - IEEE Robotics and Automation Letters, 2024 - ieeexplore.ieee.org
Motion planning is a vital part of autonomous driving. To ensure the safety of autonomous
vehicles, motion planning algorithms need to precisely model potential collision risks and …
vehicles, motion planning algorithms need to precisely model potential collision risks and …
IR-STP: Enhancing Autonomous Driving With Interaction Reasoning in Spatio-Temporal Planning
Considerable research efforts have been devoted to the development of motion planning
algorithms, which form a cornerstone of the autonomous driving system (ADS). Nonetheless …
algorithms, which form a cornerstone of the autonomous driving system (ADS). Nonetheless …
Task-Driven Autonomous Driving: Balanced Strategies Integrating Curriculum Reinforcement Learning and Residual Policy
Achieving fully autonomous driving in urban traffic scenarios is a significant challenge that
necessitates balancing safety, efficiency, and compliance with traffic regulations. In this …
necessitates balancing safety, efficiency, and compliance with traffic regulations. In this …
An Online Energy Management System Based on Minimum-Time Speed Planning for Autonomous Underwater Vehicles
SNH Eimeni, A Khosravi - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Velocity of autonomous underwater vehicles (AUVs) plays a significant role in the energy
consumption of these vehicles, as well as their other capabilities, such as localization …
consumption of these vehicles, as well as their other capabilities, such as localization …
Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization
L Zheng, R Yang, M Zheng, MY Wang, J Ma - arXiv preprint arXiv …, 2024 - arxiv.org
Ensuring safety and driving consistency is a significant challenge for autonomous vehicles
operating in partially observed environments. This work introduces a consistent parallel …
operating in partially observed environments. This work introduces a consistent parallel …
Trajectory Planning for Autonomous Vehicle Using Iterative Reward Prediction in Reinforcement Learning
H Park - arXiv preprint arXiv:2404.12079, 2024 - arxiv.org
Traditional trajectory planning methods for autonomous vehicles have several limitations.
Heuristic and explicit simple rules make trajectory lack generality and complex motion. One …
Heuristic and explicit simple rules make trajectory lack generality and complex motion. One …