mlsanityData to 14 Oct 2026

Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learning

arXiv 2404.17379 ↗First posted 26 Apr 2024cs.ROcited by 15

On the map: Deep reinforcement learning methods → RL for robot navigation and UAV control

Abstract (arXiv)

In order to solve the problem of frequent deceleration of unmanned vehicles when approaching obstacles, this article uses a Deep Q-Network (DQN) and its extension, the Double Deep Q-Network (DDQN), to develop a local navigation system that adapts to obstacles while maintaining optimal speed planning. By integrating improved reward functions and obstacle angle determination methods, the system demonstrates significant enhancements in maneuvering capabilities without frequent decelerations. Experiments conducted in simulated environments with varying obstacle densities confirm the effectiveness of the proposed method in achieving more stable and efficient path planning.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Placed in RL for robot navigation and UAV control, one of 15 directions in Deep reinforcement learning methods. Builds on 6 of its 25 references that are in the map. First posted on arXiv 26 Apr 2024.

Builds on

6 of 25 references.

References · 6

  1. 2023Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networkscited by 56
  2. 2018Contextual Hourglass Network for Semantic Segmentation of High Resolution Aerial Imagerycited by 43
  3. 2024Particle Filter SLAM for Vehicle Localizationcited by 23
  4. 2022Class-Level Confidence Based 3D Semi-Supervised Learningcited by 14
  5. 2024Development and Application of a Monte Carlo Tree Search Algorithm for Simulating Da Vinci Code Game Strategiescited by 12
  6. 2020Hardware Memory Management for Future Mobile Hybrid Memory Systemscited by 5

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 14; 2025: 0; 2026: 1.

15 papers.

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  1. 2024Harnessing XGBoost for Robust Biomarker Selection of Obsessive-Compulsive Disorder (OCD) from Adolescent Brain Cognitive Development (ABCD) datacited by 26
  2. 2024Automatic News Generation and Fact-Checking System Based on Language Processingcited by 22
  3. 2024Enhance Image-to-Image Generation with LLaVA-generated Promptscited by 20
  4. 2024Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU modelcited by 18
  5. 2024Advanced User Credit Risk Prediction Model using LightGBM, XGBoost and Tabnet with SMOTEENNcited by 10
  6. 2024Multi-Modal UAV Detection, Classification and Tracking Algorithm -- Technical Report for CVPR 2024 UG2 Challengecited by 9
  7. 2024Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Modelscited by 9
  8. 2024Application of Natural Language Processing in Financial Risk Detectioncited by 8
  9. 2024Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlinescited by 8
  10. 2024Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fieldscited by 8
  11. 2024Exploiting Diffusion Prior for Out-of-Distribution Detectioncited by 7
  12. 2024Developing Path Planning with Behavioral Cloning and Proximal Policy Optimization for Path-Tracking and Static Obstacle Nudgingcited by 3
3 more
  1. 2024Real-Time Summarization of Twittercited by 1
  2. 2024Innovative Deep Learning Techniques for Obstacle Recognition: A Comparative Study of Modern Detection Algorithmscited by 0
  3. 2026Efficient UAV trajectory prediction: A multi-modal deep diffusion frameworkcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Research on Autonomous Robots Navigation based on Reinforcement Learning
  2. 2026UAV Trajectory Optimization via Improved Noisy Deep Q-Network
  3. 2025Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments
  4. 2024Autonomous Navigation of Unmanned Vehicle Through Deep Reinforcement Learning
  5. 2025The Emergence of Deep Reinforcement Learning for Path Planning
  6. 2024Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework
  7. 2026Optimizing Path Planning using Deep Reinforcement Learning for UGVs in Precision Agriculture
  8. 2024Deep Reinforcement Learning for Decentralized Multi-Robot Control: A DQN Approach to Robustness and Information Integration