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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 6092 papers

TitleStatusHype
Chameleon: Fast-slow Neuro-symbolic Lane Topology ExtractionCode2
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving ScenarioCode2
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous DrivingCode2
Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and SegmentationCode2
Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future ProspectsCode2
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View PerceptionCode2
Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model ConversionCode2
Enhancing Vectorized Map Perception with Historical Rasterized MapsCode2
Exploring the Causality of End-to-End Autonomous DrivingCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous VehiclesCode2
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and RoadmapCode2
FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height PluginCode2
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy NetworkCode2
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
End-to-End Vectorized HD-map Construction with Piecewise Bezier CurveCode2
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature AttentionCode2
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion DetectionCode2
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object SegmentationCode2
A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D cameraCode2
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel TransformerCode2
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud MapsCode2
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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