V2xp-asg: Generating adversarial scenes for vehicle-to-everything perception
Recent advancements in Vehicle-to-Everything communication technology have enabled
autonomous vehicles to share sensory information to obtain better perception performance …
autonomous vehicles to share sensory information to obtain better perception performance …
A multi-task learning network with a collision-aware graph transformer for traffic-agents trajectory prediction
It is critical for autonomous vehicles to accurately forecast the future trajectories of
surrounding agents to avoid collisions. However, capturing the complex interactions …
surrounding agents to avoid collisions. However, capturing the complex interactions …
Emergency collision avoidance and mitigation using model predictive control and artificial potential function
X Shang, A Eskandarian - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Although extensive research in emergency collision avoidance has been carried out for
straight or curved roads in a highway scenario, a general method that could be implemented …
straight or curved roads in a highway scenario, a general method that could be implemented …
Multi-scale temporal fusion transformer for incomplete vehicle trajectory prediction
Z Liu, C Li, Y Wang, N Yang, X Fan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Motion prediction plays an essential role in autonomous driving systems, enabling
autonomous vehicles to achieve more accurate local-path planning and driving decisions …
autonomous vehicles to achieve more accurate local-path planning and driving decisions …
Cooperative probabilistic trajectory prediction under occlusion
A Nayak, A Eskandarian - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
A fundamental challenge for autonomous systems is to reliably detect and estimate
occluded objects. Particularly in complex environments involving multiple agents, navigating …
occluded objects. Particularly in complex environments involving multiple agents, navigating …
CRAWLING: a crowdsourcing algorithm on wheels for smart parking
We present the principled design of CRAWLING: a CRowdsourcing Algorithm on WheeLs
for smart parkING. CRAWLING is an in-car service for the routing of connected cars …
for smart parkING. CRAWLING is an in-car service for the routing of connected cars …
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision
Accurate vehicle trajectory prediction is an unsolved problem in autonomous driving with
various open research questions. State-of-the-art approaches regress trajectories either in a …
various open research questions. State-of-the-art approaches regress trajectories either in a …
Toward Foundation Models for Inclusive Object Detection: Geometry-and Category-Aware Feature Extraction Across Road User Categories
The safety of different categories of road users comprising motorized vehicles and
vulnerable road users (VRUs) such as pedestrians and cyclists is one of the priorities of …
vulnerable road users (VRUs) such as pedestrians and cyclists is one of the priorities of …
Mstf: Multiscale transformer for incomplete trajectory prediction
Motion forecasting plays a pivotal role in autonomous driving systems, enabling vehicles to
execute collision warnings and rational local-path planning based on predictions of the …
execute collision warnings and rational local-path planning based on predictions of the …
基于深度学习的自动驾驶多模态轨迹预测方法: 现状及展望
黄峻， 田永林， 戴星原， 王晓， 平之行 - 智能科学与技术学报, 2023 - infocomm-journal.com
对周围车辆轨迹的精确预测可以辅助自动驾驶车辆做出合理的即时决策. 虽然相比传统轨迹预测
算法, 深度学习方法已取得较好效果, 但是自动驾驶车辆在异构高动态复杂变化环境下实现多模 …
算法, 深度学习方法已取得较好效果, 但是自动驾驶车辆在异构高动态复杂变化环境下实现多模 …