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 17261750 of 6092 papers

TitleStatusHype
Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal SpaceCode0
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth EstimationCode0
Automotive Speed Estimation: Sensor Types and Error Characteristics from OBD-II to ADASCode0
Make Interval Bound Propagation great againCode0
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D ReconstructionCode0
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing EnvironmentsCode0
Loss-Calibrated Approximate Inference in Bayesian Neural NetworksCode0
LoRD: Adapting Differentiable Driving Policies to Distribution ShiftsCode0
Long Term Motion Prediction Using KeyposesCode0
LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point CloudsCode0
LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving ScenariosCode0
LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDARCode0
LifelongPR: Lifelong knowledge fusion for point cloud place recognition based on replay and prompt learningCode0
A Human-Centric Approach to Explainable AI for Personalized EducationCode0
LiDAR guided Small obstacle SegmentationCode0
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous drivingCode0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
Level 2 Autonomous Driving on a Single Device: Diving into the Devils of OpenpilotCode0
Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample SelectionCode0
DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous VehicleCode0
Deep Imitative Models for Flexible Inference, Planning, and ControlCode0
A Hierarchical Architecture for Sequential Decision-Making in Autonomous Driving using Deep Reinforcement LearningCode0
Learning to Adapt for StereoCode0
Learning to Cluster for Proposal-Free Instance SegmentationCode0
Learning to Drive in a DayCode0
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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