基于机器学习的自动驾驶车辆意图轨迹识别与预测
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
AI总结：
本文针对自动驾驶变道安全问题，提出一种基于深度学习的变道行为预测方法，旨在准确识别驾驶员变道意图，促进安全变道并提升道路安全性。
摘要：
近年来，互联网技术的扩展和自动化技术的进步使自动驾驶技术受到广泛关注。包括沃尔沃、梅赛德斯-奔驰和特斯拉在内的主要汽车制造商已逐步推出从辅助驾驶车辆到半自动驾驶车辆的产品。然而，这一时期也发生了多起涉及自动驾驶车辆的交通安全事故。例如，2016年3月，一辆谷歌自动驾驶汽车与一辆公交车发生轻微碰撞。事故发生时，该自动驾驶车辆正试图并入右侧车道，但在变道过程中未能对环境实时信息做出动态响应。它错误地假设正在接近的公交车会减速避让，从而导致与公交车发生低速碰撞。这一事件凸显了尽管自动驾驶技术快速发展，自动驾驶变道行为仍存在技术不足和安全隐患。变道是高速公路驾驶中最常见且最危险的行为之一，对交通安全和交通流有显著影响。因此，变道对交通安全至关重要，准确预测驾驶员的变道意图能够显著提升驾驶安全性。本文提出了一种基于深度学习的自动驾驶变道行为预测方法，旨在促进安全变道，从而提高道路安全性。
英文摘要：
In recent years, the expansion of internet technology and advancements in automation have brought significant attention to autonomous driving technology. Major automobile manufacturers, including Volvo, Mercedes-Benz, and Tesla, have progressively introduced products ranging from assisted-driving vehicles to semi-autonomous vehicles. However, this period has also witnessed several traffic safety incidents involving self-driving vehicles. For instance, in March 2016, a Google self-driving car was involved in a minor collision with a bus. At the time of the accident, the autonomous vehicle was attempting to merge into the right lane but failed to dynamically respond to the real-time environmental information during the lane change. It incorrectly assumed that the approaching bus would slow down to avoid it, leading to a low-speed collision with the bus. This incident highlights the current technological shortcomings and safety concerns associated with autonomous lane-changing behavior, despite the rapid advancements in autonomous driving technology. Lane-changing is among the most common and hazardous behaviors in highway driving, significantly impacting traffic safety and flow. Therefore, lane-changing is crucial for traffic safety, and accurately predicting drivers' lane change intentions can markedly enhance driving safety. This paper introduces a deep learning-based prediction method for autonomous driving lane change behavior, aiming to facilitate safe lane changes and thereby improve road safety.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
