mlsanityData to 14 Oct 2026

Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving

arXiv 2310.00013 ↗First posted 15 Sep 2023cs.AIcited by 19

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Abstract (arXiv)

Collaborative perception among multiple connected and autonomous vehicles can greatly enhance perceptive capabilities by allowing vehicles to exchange supplementary information via communications. Despite advances in previous approaches, challenges still remain due to channel variations and data heterogeneity among collaborative vehicles. To address these issues, we propose ACC-DA, a channel-aware collaborative perception framework to dynamically adjust the communication graph and minimize the average transmission delay while mitigating the side effects from the data heterogeneity. Our novelties lie in three aspects. We first design a transmission delay minimization method, which can construct the communication graph and minimize the transmission delay according to different channel information state. We then propose an adaptive data reconstruction mechanism, which can dynamically adjust the rate-distortion trade-off to enhance perception efficiency. Moreover, it minimizes the temporal redundancy during data transmissions. Finally, we conceive a domain alignment scheme to align the data distribution from different vehicles, which can mitigate the domain gap between different vehicles and improve the performance of the target task. Comprehensive experiments demonstrate the effectiveness of our method in comparison to the existing state-of-the-art works.

Key facts. Cited by 19 papers in the map (data through 14 Oct 2026). Builds on 24 of its 38 references that are in the map. First posted on arXiv 15 Sep 2023.

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24 of 38 references.

References · 24

  1. 2017CARLA: An Open Urban Driving Simulatorcited by 2,449
  2. 2018Variational image compression with a scale hyperpriorcited by 935
  3. 2021Generalizing to Unseen Domains: A Survey on Domain Generalizationcited by 766
  4. 2021Domain Generalization: A Surveycited by 764
  5. 2017Learning to Generalize: Meta-Learning for Domain Generalizationcited by 763
  6. 2016End-to-end Optimized Image Compressioncited by 696
  7. 2018Joint Autoregressive and Hierarchical Priors for Learned Image Compressioncited by 664
  8. 2020FDA: Fourier Domain Adaptation for Semantic Segmentationcited by 541
  9. 2022V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformercited by 320
  10. 2021OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communicationcited by 304
  11. 2020V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Predictioncited by 292
  12. 2022DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detectioncited by 273
12 more
  1. 2022Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Mapscited by 255
  2. 2022CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformerscited by 227
  3. 2021Learning Distilled Collaboration Graph for Multi-Agent Perceptioncited by 194
  4. 2020When2com: Multi-Agent Perception via Communication Graph Groupingcited by 157
  5. 2019Feature-Critic Networks for Heterogeneous Domain Generalizationcited by 130
  6. 2020Learning to Balance Specificity and Invariance for In and Out of Domain Generalizationcited by 128
  7. 2020Who2com: Collaborative Perception via Learnable Handshake Communicationcited by 127
  8. 2019Variable Rate Deep Image Compression With a Conditional Autoencodercited by 114
  9. 2020Learning to Learn with Variational Information Bottleneck for Domain Generalizationcited by 102
  10. 2019Variable Rate Deep Image Compression with Modulated Autoencodercited by 40
  11. 2022V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perceptioncited by 28
  12. 2022Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communicationscited by 4

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 11; 2025: 3; 2026: 4.

19 papers.

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  1. 2024AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networkscited by 64
  2. 2024SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Modelscited by 62
  3. 2024Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Modelscited by 49
  4. 2024AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learningcited by 40
  5. 2024Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunitiescited by 32
  6. 2024FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Datacited by 25
  7. 2024AgentsCoMerge: Large Language Model Empowered Collaborative Decision Making for Ramp Mergingcited by 22
  8. 2024IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengerscited by 20
  9. 2024CP-Guard: Malicious Agent Detection and Defense in Collaborative Bird's Eye View Perceptioncited by 13
  10. 2024SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanismcited by 11
  11. 2023Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous Drivingcited by 9
  12. 2025GCP: Guarded Collaborative Perception with Spatial-Temporal Aware Malicious Agent Detectioncited by 8
7 more
  1. 2026Learning Mutual View Information Graph for Adaptive Adversarial Collaborative Perceptioncited by 3
  2. 2024Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAVcited by 2
  3. 2025Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edgecited by 2
  4. 2025CP-uniGuard: A Unified, Probability-Agnostic, and Adaptive Framework for Malicious Agent Detection and Defense in Multi-Agent Embodied Perception Systemscited by 1
  5. 2026Learning from Distributed Eyes: Leveraging Collaborative Perception for Automated Model Adaptationcited by 1
  6. 2026DSP-Reg: Domain-Sensitive Parameter Regularization for Robust Domain Generalizationcited by 0
  7. 2026CATNet: Collaborative Alignment and Transformation Network for Cooperative Perceptioncited by 0