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

Showing 951975 of 6092 papers

TitleStatusHype
Iterative Patch Selection for High-Resolution Image RecognitionCode1
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving AgentsCode1
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNsCode1
Online LiDAR-Camera Extrinsic Parameters Self-checkingCode1
Intra-Source Style Augmentation for Improved Domain GeneralizationCode1
Intelligent Resource Allocation in Joint Radar-Communication With Graph Neural NetworksCode1
Row-wise LiDAR Lane Detection Network with Lane Correlation RefinementCode1
Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge SystemsCode1
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object DetectionCode1
LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLADCode1
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial ViewpointsCode1
CLAD: A realistic Continual Learning benchmark for Autonomous DrivingCode1
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning DatasetsCode1
Unsupervised confidence for LiDAR depth maps and applicationsCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated LearningCode1
ROAD-R: The Autonomous Driving Dataset with Logical RequirementsCode1
Differentiable Raycasting for Self-supervised Occupancy ForecastingCode1
PlaneDepth: Self-supervised Depth Estimation via Orthogonal PlanesCode1
LOPR: Latent Occupancy PRediction using Generative ModelsCode1
PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving SceneCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Exploring Attention GAN for Vehicle Motion PredictionCode1
LEADER: Learning Attention over Driving Behaviors for Planning under UncertaintyCode1
Query-based Hard-Image Retrieval for Object Detection at Test TimeCode1
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Benchmark Results

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