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 851875 of 6092 papers

TitleStatusHype
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic SystemsCode1
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic FusionCode1
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point CloudsCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
FinnWoodlands DatasetCode1
Procedural Generation of Complex Roundabouts for Autonomous Vehicle TestingCode1
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous DrivingCode1
FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory PredictionCode1
NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear InterpolationCode1
Model-Based Reinforcement Learning with Isolated ImaginationsCode1
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye ViewCode1
PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic ViewCode1
CCL: Continual Contrastive Learning for LiDAR Place RecognitionCode1
LINe: Out-of-Distribution Detection by Leveraging Important NeuronsCode1
Robust Test-Time Adaptation in Dynamic ScenariosCode1
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial NetworksCode1
VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object DetectionCode1
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic SegmentationCode1
Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow PredictionCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
Stochastic Segmentation with Conditional Categorical Diffusion ModelsCode1
MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud SequencesCode1
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous DrivingCode1
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph ConstructionCode1
Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability ModelCode1
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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