SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

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Showing 151–200 of 6092 papers

TitleStatusHype
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action ControlCode2
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object DetectionCode2
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous DrivingCode2
2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object DetectionCode2
GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition ControlCode2
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle DetectionCode2
BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop DrivingCode2
Hidden Biases of End-to-End Driving ModelsCode2
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth EstimationCode2
FUTR3D: A Unified Sensor Fusion Framework for 3D DetectionCode2
FRNet: Frustum-Range Networks for Scalable LiDAR SegmentationCode2
GAIA-1: A Generative World Model for Autonomous DrivingCode2
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
FocalFormer3D: Focusing on Hard Instance for 3D Object DetectionCode2
GaussianAD: Gaussian-Centric End-to-End Autonomous DrivingCode2
Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model ConversionCode2
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View TransformationCode2
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and SegmentationCode2
A Comprehensive Survey on Evidential Deep Learning and Its ApplicationsCode2
Exploring the Causality of End-to-End Autonomous DrivingCode2
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View PerceptionCode2
FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud MapsCode2
Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and TaxonomyCode2
Autonomous Driving on Curvy Roads Without Reliance on Frenet Frame: A Cartesian-Based Trajectory Planning MethodCode2
AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous DrivingCode2
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and RoadmapCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
End-to-End Vectorized HD-map Construction with Piecewise Bezier CurveCode2
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
FocalFormer3D : Focusing on Hard Instance for 3D Object DetectionCode2
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object SegmentationCode2
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy NetworkCode2
Enhancing Vectorized Map Perception with Historical Rasterized MapsCode2
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario AnalysisCode2
Fully Sparse 3D Object DetectionCode2
Fully Sparse 3D Occupancy PredictionCode2
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view RepresentationCode2
Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingCode2
3D Object Detection for Autonomous Driving: A Comprehensive SurveyCode2
A Cognitive-Based Trajectory Prediction Approach for Autonomous DrivingCode2
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel TransformerCode2
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesCode2
A Survey on Multimodal Large Language Models for Autonomous DrivingCode2
BEVFusion: A Simple and Robust LiDAR-Camera Fusion FrameworkCode2
2nd Place Solution for Waymo Open Dataset Challenge -- Real-time 2D Object DetectionCode2
Drone-assisted Road Gaussian Splatting with Cross-view UncertaintyCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified