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May 16, 2026Multimodal TransportationOpen Access

Lane Detection Based on Perception Fusion Methods in Autonomous Driving System

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Authors

FLFeng LiQLQi LiuXLXintong Liu

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Overview

Discussion of lane detection challenges and future directions in autonomous vehicles, suggesting improvements in algorithms.

Key Points

  • The aim is to analyze the challenges faced in lane detection technology for autonomous vehicles and propose future solutions.
  • Reviewed existing literature on lane detection algorithms and their effectiveness under various conditions
  • Identified key environmental challenges impacting lane detection, such as lighting and occlusions
  • Explored state-of-the-art approaches and future research directions in the field
  • Highlighted that complex environments significantly impair traditional lane detection algorithms
  • Emphasized the need for improved perception fusion methods to enhance lane detection accuracy
  • Proposed a roadmap for future research directions to tackle identified challenges

Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/6a0809bea487c87a6a40b99bhttps://doi.org/10.1016/j.multra.2026.100321
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1An Artificial Intelligence Based Autonomous Road Lane Detection and Navigation System for Vehicles2024
  2. 2Deep Learning for Lane Detection: A Comparative Analysis2024
  3. 3Advanced Road Lane Detection System2024
  4. 4A Review of Deep Learning-Based Lane Detection Methods in Complex Environments2025
  5. 5Robust Lane Detection under Varying Lighting Conditions Using Adaptive Vision-Based Techniques2025