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 2926–2950 of 6092 papers

TitleStatusHype
Hidden Biases of End-to-End Driving ModelsCode2
Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling—0
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted DataCode0
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous DrivingCode1
Precise and Generalized Robustness Certification for Neural NetworksCode1
Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI—0
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory HypothesesCode1
Self-Interpretable Time Series Prediction with Counterfactual Explanations—0
StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street ViewsCode2
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection—0
A Dynamic Feature Interaction Framework for Multi-task Visual Perception—0
4D Millimeter-Wave Radar in Autonomous Driving: A Survey—0
1st Place Solution for PVUW Challenge 2023: Video Panoptic SegmentationCode1
ICON^2: Reliably Benchmarking Predictive Inequity in Object Detection—0
NeMO: Neural Map Growing System for Spatiotemporal Fusion in Bird's-Eye-View and BDD-Map Benchmark—0
Bridging the Gap Between Multi-Step and One-Shot Trajectory Prediction via Self-Supervision—0
Boosting Offline Reinforcement Learning with Action Preference Query—0
X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation—0
DVIS: Decoupled Video Instance Segmentation FrameworkCode1
SDR-GAIN: A High Real-Time Occluded Pedestrian Pose Completion Method for Autonomous Driving—0
DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition ModelsCode0
Confidence-based federated distillation for vision-based lane-centering—0
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous DrivingCode0
Mitigating Backdoor Attack Via Prerequisite Transformation—0
Milestones in Autonomous Driving and Intelligent Vehicles Part II: Perception and Planning—0
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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