mlsanityData to 14 Oct 2026

PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset

arXiv 2102.12010 ↗First posted 24 Feb 2021cs.RO cs.AI cs.CVcited by 20

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Abstract (arXiv)

Leddar PixSet is a new publicly available dataset (dataset.leddartech.com) for autonomous driving research and development. One key novelty of this dataset is the presence of full-waveform data from the Leddar Pixell sensor, a solid-state flash LiDAR. Full-waveform data has been shown to improve the performance of perception algorithms in airborne applications but is yet to be demonstrated for terrestrial applications such as autonomous driving. The PixSet dataset contains approximately 29k frames from 97 sequences recorded in high-density urban areas, using a set of various sensors (cameras, LiDARs, radar, IMU, etc.) Each frame has been manually annotated with 3D bounding boxes.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Builds on 0 of its 12 references that are in the map. First posted on arXiv 24 Feb 2021.

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Citing papers per year: 2022: 1; 2023: 8; 2024: 6; 2025: 4; 2026: 1.

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  1. 2024A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlookcited by 66
  2. 2025Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysiscited by 38
  3. 2023Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Drivingcited by 32
  4. 2024OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Drivingcited by 27
  5. 2023Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusioncited by 25
  6. 2023RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perceptioncited by 24
  7. 2023Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Reviewcited by 22
  8. 2023A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Servicescited by 14
  9. 2022A Survey on RGB-D Datasetscited by 11
  10. 2024RGB Guided ToF Imaging System: A Survey of Deep Learning-based Methodscited by 8
  11. 2024Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Drivingcited by 7
  12. 2025DoppDrive: Doppler-Driven Temporal Aggregation for Improved Radar Object Detectioncited by 6
8 more
  1. 2024Enhanced Radar Perception via Multi-Task Learning: Towards Refined Data for Sensor Fusion Applicationscited by 5
  2. 2024Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensingcited by 5
  3. 2023FisheyePP4AV: A privacy-preserving method for autonomous vehicles on fisheye camera imagescited by 3
  4. 2025Integrating Multi-Modal Sensors: A Review of Fusion Techniques for Intelligent Vehiclescited by 3
  5. 2025All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehiclescited by 2
  6. 2023ICET Online Accuracy Characterization for Geometry-Based Laser Scan Matchingcited by 1
  7. 2023First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austriacited by 1
  8. 2026Ghost-FWL: A Large-Scale Full-Waveform LiDAR Dataset for Ghost Detection and Removalcited by 1