Reference health

A Review of Developments in 3d Object Detection for Autonomous Driving

https://doi.org/10.2139/ssrn.4963045
CiteStamped reference-health badge
16/16 checkable references clean · checked 2026-08-30

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

76 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 16 checked references that resolve
resolves10.1109/JSEN.2020.3020626
Deep 3D Object Detection Networks Using LiDAR Data: A Review
resolves10.1016/j.inffus.2020.11.002
Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy
resolves10.1016/j.patcog.2022.108796
3D Object Detection for Autonomous Driving: A Survey
resolves10.1007/s11263-023-01790-1
3D Object Detection for Autonomous Driving: A Comprehensive Survey
resolves10.1109/CVPR.2012.6248074
Are we ready for autonomous driving? The KITTI vision benchmark suite
resolves10.1109/TPAMI.2022.3179507
KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
resolves10.1109/ICRA46639.2022.9812038
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication
resolves10.1109/LRA.2022.3192802
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving
resolves10.1109/ICRA.2017.7989534
MF3D: Model-free 3D semantic scene parsing
resolves10.1016/j.patcog.2022.108524
BADet: Boundary-Aware 3D Object Detection from Point Clouds
resolves10.1109/ICRA.2019.8794195
MVX-Net: Multimodal VoxelNet for 3D Object Detection
resolves10.1007/978-3-030-58583-9_43
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-view Spatial Feature Fusion for 3D Object Detection
resolves10.1109/LRA.2020.2992184
Segmenting the Future
resolves10.1109/TPAMI.2021.3095302
Semantic Scene Completion Using Local Deep Implicit Functions on LiDAR Data
resolves10.1109/TPAMI.2022.3200245
TransFuser: Imitation With Transformer-Based Sensor Fusion for Autonomous Driving
resolves10.1145/3510003.3510172
CodeFill
The 76 references without a DOI — listed, not checked
no DOI — not checked3d object detection from images for autonomous driving: a survey
no DOI — not checkedref7
no DOI — not checkedScalability in perception for autonomous driving: Waymo open dataset
no DOI — not checkedSemantickitti: A dataset for semantic scene understanding of lidar sequences
no DOI — not checkedref12
no DOI — not checkedref14
no DOI — not checkedDair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection
no DOI — not checkedTumtraf v2x cooperative perception dataset
no DOI — not checkedref17
no DOI — not checkedLarge car-following data based on lyft level-5 open dataset: Following autonomous vehicles vs. humandriven vehicles
no DOI — not checkedRope3d: The roadside perception dataset for autonomous driving and monocular 3d object detection task
no DOI — not checkedref20
no DOI — not checkedSmoke: Single-stage monocular 3d object detection via keypoint estimation
no DOI — not checkedref22
no DOI — not checkedref23
no DOI — not checkedDisentangling monocular 3d object detection
no DOI — not checkedPseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving
no DOI — not checkedMonocd: Monocular 3d object detection with complementary depths
no DOI — not checkedMonodtr: Monocular 3d object detection with depth-aware transformer
no DOI — not checkedDetr3d: 3d object detection from multi-view images via 3d-to-2d queries
no DOI — not checkedPoint-gnn: Graph neural network for 3d object detection in a point cloud
no DOI — not checkedPoint2seq: Detecting 3d objects as sequences
no DOI — not checked3d object detection with pointformer
no DOI — not checkedVoxelnet: End-to-end learning for point cloud based 3d object detection
no DOI — not checkedref34
no DOI — not checkedVoxelnext: Fully sparse voxelnet for 3d object detection and tracking
no DOI — not checkedSafdnet: A simple and effective network for fully sparse 3d object detection
no DOI — not checkedref37
no DOI — not checkedVoxel set transformer: A set-to-set approach to 3d object detection from point clouds
no DOI — not checkedPointpainting: Sequential fusion for 3d object detection
no DOI — not checkedref42
no DOI — not checkedBevfusion: A simple and robust lidar-camera fusion framework
no DOI — not checkedLogonet: Towards accurate 3d object detection with local-to-global crossmodal fusion
no DOI — not checkedSparse fuse dense: Towards high quality 3d detection with depth completion
no DOI — not checkedref47
no DOI — not checkedClocs: Camera-lidar object candidates fusion for 3d object detection
no DOI — not checkedFast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
no DOI — not checkedStinet: Spatio-temporalinteractive network for pedestrian detection and trajectory prediction
no DOI — not checkedPtt: Point-trajectory transformer for efficient temporal 3d object detection
no DOI — not checkedObject scene flow for autonomous vehicles
no DOI — not checkedref53
no DOI — not checkedPetrv2: A unified framework for 3d perception from multi-camera images
no DOI — not checkedExploring object-centric temporal modeling for efficient multi-view 3d object detection
no DOI — not checkedTowards streaming perception
no DOI — not checkedSingle level feature-tofeature forecasting with deformable convolutions
no DOI — not checkedWarp to the future: Joint forecasting of features and feature motion
no DOI — not checkedPredictive feature learning for future segmentation prediction
no DOI — not checkedReal-time object detection for streaming perception
no DOI — not checkedLongshortnet: Exploring temporal and semantic features fusion in streaming perception
no DOI — not checkedref63
no DOI — not checkedFlow-based feature fusion for vehicle-infrastructure cooperative 3d object detection
no DOI — not checkedref65
no DOI — not checkedref67
no DOI — not checkedMonoscene: Monocular 3d semantic scene completion
no DOI — not checkedTri-perspective view for visionbased 3d semantic occupancy prediction
no DOI — not checkedref70
no DOI — not checkedref71
no DOI — not checkedref72
no DOI — not checkedUnified occupancy representation for camera-based 3d panoptic segmentation
no DOI — not checkedSelfocc: Self-supervised visionbased 3d occupancy prediction
no DOI — not checkedref75
no DOI — not checkedOpenoccupancy: A large scale benchmark for surrounding semantic occupancy perception
no DOI — not checkedref77
no DOI — not checkedref78
no DOI — not checkedref79
no DOI — not checkedControlling steering angle for cooperative self-driving vehicles utilizing cnn and lstm-based deep networks
no DOI — not checkedPerceive, predict, and plan: Safe motion planning through interpretable semantic representations
no DOI — not checkedMp3: A unified model to map, perceive, predict and plan
no DOI — not checkedPlanning-oriented autonomous driving
no DOI — not checkedref85
no DOI — not checkedLearning distilled collaboration graph for multi-agent perception
no DOI — not checkedV2vnet: Vehicle-to-vehicle communication for joint perception and prediction
no DOI — not checkedCollaboration helps camera overtake lidar in 3d detection
no DOI — not checkedMulti-agent collaborative perception via motion-aware robust communication network
no DOI — not checkedref91
no DOI — not checkedref92
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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