Integrated Lateral‑Longitudinal Control for Autonomous Vehicles Using Linear Time‑Varying MPC

The paper presents an integrated lateral‑longitudinal control framework for autonomous vehicles that employs a coupled vehicle model and joint constraints within a linear time‑varying model predictive control scheme, yielding a unified performance index and demonstrating more human‑like, balanced tracking of speed, position, and yaw compared with traditional separated controllers.

MPCModel Predictive Controlautonomous driving

0 likes · 14 min read

Integrated Lateral‑Longitudinal Control for Autonomous Vehicles Using Linear Time‑Varying MPC

Hulu Beijing

Apr 25, 2019 · Artificial Intelligence

How to Build End-to-End Deep Learning Models for Self-Driving Cars

This article reviews the evolution of autonomous‑driving research, explains how to design end‑to‑end deep‑neural‑network models such as PilotNet, and outlines a reinforcement‑learning based decision system, highlighting key architectures, performance metrics, and future challenges.

Deep LearningEnd-to-EndPilotNet

0 likes · 9 min read

How to Build End-to-End Deep Learning Models for Self-Driving Cars

DataFunTalk

Apr 4, 2019 · Artificial Intelligence

Exploring Trajectory Planning: Concepts, Decision‑Making, and Challenges in Autonomous Driving

This article presents a comprehensive overview of autonomous‑vehicle trajectory planning, covering its fundamental concepts, optimization formulation, decision‑making strategies, lateral and longitudinal planning methods, and the practical challenges faced in real‑world deployments.

autonomous drivingdecision makingoptimization

0 likes · 17 min read

Exploring Trajectory Planning: Concepts, Decision‑Making, and Challenges in Autonomous Driving