4D mmWave radar for autonomous driving perception: a comprehensive survey
L Fan, J Wang, Y Chang, Y Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid development of autonomous driving technology has driven continuous innovation
in perception systems, with 4D millimeter-wave (mmWave) radar being one of the key …
in perception systems, with 4D millimeter-wave (mmWave) radar being one of the key …
Sora for foundation robots with parallel intelligence: Three world models, three robotic systems
Following the emergence of foundation models such as ChatGPT (Wang JC et al., 2023;
Zhou et al., 2023) and Sora, there is a focus on developing technology that leverages these …
Zhou et al., 2023) and Sora, there is a focus on developing technology that leverages these …
Social Radars: Finding Targets in Cyberspace for Cybersecurity
Inspired by the insight from American political scientist Lasswell, who summarized the
environmental role in societal surveillance [1], Schramm coined the term “social radar”[2] as …
environmental role in societal surveillance [1], Schramm coined the term “social radar”[2] as …
Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges
Multiagent Reinforcement Learning (MARL) plays a pivotal role in intelligent vehicle
systems, offering solutions for complex decision-making, coordination, and adaptive …
systems, offering solutions for complex decision-making, coordination, and adaptive …
Social Radars for Social Vision of Intelligent Vehicles: A New Direction for Vehicle Research and Development
The low-altitude economy is playing a crucial role in promoting economic development,
strengthening social security, and serving international security, thus becoming an …
strengthening social security, and serving international security, thus becoming an …
Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-road Scenarios
In extreme off-road scenarios, autonomous driving technology holds strategic significance
for enhancing emergency rescue capabilities, reducing labor intensity, and mitigating safety …
for enhancing emergency rescue capabilities, reducing labor intensity, and mitigating safety …
A Novel Trajectory Planning Method Based on Trust Region Policy Optimization
BL Ye, J Zhang, L Li, W Wu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Trajectory planning method is a research hotspot in autonomous driving. Existing
reinforcement learning-based trajectory planning methods suffer from unstable performance …
reinforcement learning-based trajectory planning methods suffer from unstable performance …
Computational Experiments and Comparative Analysis of Signal Detection Algorithms in Vehicular Ad Hoc Networks
Y Li, C Hao, Y Xie, S Han - IEEE Journal of Radio Frequency …, 2024 - ieeexplore.ieee.org
In the era of rapid development of vehicular ad hoc networks (VANETs), ensuring the
reliability and security of vehicle-to-vehicle communication has become a top priority. This …
reliability and security of vehicle-to-vehicle communication has become a top priority. This …