Autonomous driving paper index
Longitudinal and Lateral Control of Autonomous Vehicles
One-line summary
The research concentrates on the design and assessment of longitudinal and lateral control frameworks for autonomous vehicles using the CARLA simulation platform.
Engineering notes
Key topics: autonomous driving, autonomous vehicle, carla, control. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
The research concentrates on the design and assessment of longitudinal and lateral control frameworks for autonomous vehicles using the CARLA simulation platform. The primary goal is to enhance autonomous driving performance under realistic traffic conditions by implementing and evaluating control approaches such as Proportional-Integral-Derivative, Pure Pursuit, and GPS-based steering methods. Longitudinal control is responsible for precise velocity regulation and maintaining safe inter-vehicle distances, whereas lateral control governs steering actions to ensure lane keeping and smooth turning maneuvers. The proposed controllers are validated across multiple driving scenarios, including lane transitions and curved road navigation, using performance indicators such as path-tracking precision, response speed, and system stability. CARLA's high-fidelity simulation environment enables safe experimentation with critical situations such as emergency braking and obstacle avoidance.
Links and sources
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