{"total":44,"rows":[{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"area":null},{"id":"2206.07959","title":"Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?","created":"2022-06-16","cited_by_count":128,"area":null},{"id":"2403.16440","title":"RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection","created":"2024-03-25","cited_by_count":82,"area":null},{"id":"2106.15796","title":"Monocular 3D Object Detection: An Extrinsic Parameter Free Approach","created":"2021-06-30","cited_by_count":69,"area":null},{"id":"2106.12735","title":"Multi-Modal 3D Object Detection in Autonomous Driving: a Survey","created":"2021-06-24","cited_by_count":63,"area":null},{"id":"2208.12079","title":"Bridging the View Disparity Between Radar and Camera Features for Multi-modal Fusion 3D Object Detection","created":"2022-08-25","cited_by_count":46,"area":null},{"id":"2101.06784","title":"Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving","created":"2021-01-17","cited_by_count":45,"area":null},{"id":"2103.03678","title":"An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving","created":"2021-03-05","cited_by_count":33,"area":null},{"id":"2206.15157","title":"HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection","created":"2022-06-30","cited_by_count":31,"area":null},{"id":"2210.09267","title":"CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection","created":"2022-10-17","cited_by_count":30,"area":null},{"id":"2302.10511","title":"MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion","created":"2023-02-21","cited_by_count":29,"area":null},{"id":"2306.01438","title":"Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection","created":"2023-06-02","cited_by_count":28,"area":null},{"id":"2307.10249","title":"RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection","created":"2023-07-17","cited_by_count":23,"area":null},{"id":"2204.01184","title":"Exploiting Temporal Relations on Radar Perception for Autonomous Driving","created":"2022-04-03","cited_by_count":22,"area":null},{"id":"2305.19812","title":"A Survey of Label-Efficient Deep Learning for 3D Point Clouds","created":"2023-05-31","cited_by_count":20,"area":null},{"id":"2310.16389","title":"MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection","created":"2023-10-25","cited_by_count":20,"area":null},{"id":"2412.12725","title":"RaCFormer: Towards High-Quality 3D Object Detection via Query-based Radar-Camera Fusion","created":"2024-12-17","cited_by_count":19,"area":null},{"id":"2108.10637","title":"Full-Velocity Radar Returns by Radar-Camera Fusion","created":"2021-08-24","cited_by_count":16,"area":null},{"id":"2209.12729","title":"DeepFusion: A Robust and Modular 3D Object Detector for Lidars, Cameras and Radars","created":"2022-09-26","cited_by_count":16,"area":null},{"id":"2303.11420","title":"ADCNet: Learning from Raw Radar Data via Distillation","created":"2023-03-21","cited_by_count":14,"area":null},{"id":"2106.14087","title":"Radar Voxel Fusion for 3D Object Detection","created":"2021-06-26","cited_by_count":13,"area":null},{"id":"2209.14499","title":"NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving","created":"2022-09-29","cited_by_count":13,"area":null},{"id":"2408.00565","title":"MUFASA: Multi-View Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection","created":"2024-08-01","cited_by_count":13,"area":null},{"id":"2402.11735","title":"LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection","created":"2024-02-18","cited_by_count":11,"area":null},{"id":"2409.04979","title":"RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network","created":"2024-09-08","cited_by_count":11,"area":null},{"id":"2306.09304","title":"Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges","created":"2023-06-15","cited_by_count":10,"area":null},{"id":"2206.03666","title":"Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking","created":"2022-06-08","cited_by_count":9,"area":null},{"id":"2308.05478","title":"Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar","created":"2023-08-10","cited_by_count":8,"area":null},{"id":"2504.09862","title":"RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-Wave Point Cloud Sequence","created":"2025-04-14","cited_by_count":7,"area":null},{"id":"2206.01772","title":"Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection","created":"2022-06-03","cited_by_count":5,"area":null},{"id":"2207.03146","title":"Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks","created":"2022-07-07","cited_by_count":5,"area":null},{"id":"2411.02220","title":"SIRA: Scalable Inter-frame Relation and Association for Radar Perception","created":"2024-11-04","cited_by_count":4,"area":null},{"id":"2505.22427","title":"RC-AutoCalib: An End-to-End Radar-Camera Automatic Calibration Network","created":"2025-05-28","cited_by_count":4,"area":null},{"id":"2508.13485","title":"CORENet: Cross-Modal 4D Radar Denoising Network with LiDAR Supervision for Autonomous Driving","created":"2025-08-19","cited_by_count":4,"area":null},{"id":"2101.03279","title":"Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models","created":"2021-01-09","cited_by_count":3,"area":null},{"id":"2308.10146","title":"OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision","created":"2023-08-20","cited_by_count":2,"area":null},{"id":"2203.08038","title":"Deep learning for radar data exploitation of autonomous vehicle","created":"2022-03-15","cited_by_count":1,"area":null},{"id":"2308.10161","title":"ThermRad: A Multi-modal Dataset for Robust 3D Object Detection under Challenging Conditions","created":"2023-08-20","cited_by_count":1,"area":null},{"id":"2405.17942","title":"Learning Shared RGB-D Fields: Unified Self-supervised Pre-training for Label-efficient LiDAR-Camera 3D Perception","created":"2024-05-28","cited_by_count":1,"area":null},{"id":"2606.00416","title":"4D Radar Meets LiDAR and Camera: Cooperative Perception under Adverse Weather","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2311.13750","title":"Towards Transferable Multi-modal Perception Representation Learning for Autonomy: NeRF-Supervised Masked AutoEncoder","created":"2023-11-23","cited_by_count":0,"area":null},{"id":"2603.17979","title":"AdaRadar: Rate Adaptive Spectral Compression for Radar-based Perception","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2606.09634","title":"ATN3D: Density-Aware LiDAR-Radar Early 3D Object Detection Under Extreme Sparsity","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2609.02289","title":"If It Moves, Radar Knows: A Physics-Aware Radar Transformer for Class-Agnostic Moving-Object Detection","created":"2026-09-02","cited_by_count":0,"area":null}],"next_cursor":null}