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 5426–5450 of 6092 papers

TitleStatusHype
Patch-Wise Point Cloud Generation: A Divide-and-Conquer ApproachCode0
Pixel-wise Smoothing for Certified Robustness against Camera Motion PerturbationsCode0
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity AnalysisCode0
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR ImagingCode0
IDD-3D: Indian Driving Dataset for 3D Unstructured Road ScenesCode0
4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic SegmentationCode0
Part-Whole Relational Fusion Towards Multi-Modal Scene UnderstandingCode0
Walling up Backdoors in Intrusion Detection SystemsCode0
Hyperspectral Imaging-Based Perception in Autonomous Driving Scenarios: Benchmarking Baseline Semantic Segmentation ModelsCode0
Provable Defense Against Geometric TransformationsCode0
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationCode0
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score FilteringCode0
WARLearn: Weather-Adaptive Representation LearningCode0
A Review on Deep Learning Techniques Applied to Semantic SegmentationCode0
Complementary Learning for Real-World Model Failure DetectionCode0
PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving DatasetsCode0
Adversarial samples for deep monocular 6D object pose estimationCode0
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language ModelsCode0
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic SegmentationCode0
Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous RacingCode0
SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy PredictionCode0
SDNet: mutil-branch for single image deraining using swinCode0
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous DrivingCode0
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object DetectionCode0
Distribution-aware Fairness Test GenerationCode0
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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