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 10011050 of 6092 papers

TitleStatusHype
Latent Discriminant deterministic UncertaintyCode1
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous DrivingCode1
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video UnderstandingCode1
Meta Adversarial Training against Universal PatchesCode1
LEADER: Learning Attention over Driving Behaviors for Planning under UncertaintyCode1
MGNet: Monocular Geometric Scene Understanding for Autonomous DrivingCode1
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and ChallengesCode1
Learning Cooperative Trajectory Representations for Motion ForecastingCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
Learning hierarchical behavior and motion planning for autonomous drivingCode1
Real-time 3D Single Object Tracking with TransformerCode1
Real-Time Environment Condition Classification for Autonomous VehiclesCode1
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
Learning Interpretable, High-Performing Policies for Autonomous DrivingCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
Mask-based Invisible Backdoor Attacks on Object DetectionCode1
LiON: Learning Point-wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic DataCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous DrivingCode1
Deep Federated Learning for Autonomous DrivingCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-drivingCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
Adversarial Driving: Attacking End-to-End Autonomous DrivingCode1
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous DrivingCode1
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving PoliciesCode1
Density-Insensitive Unsupervised Domain Adaption on 3D Object DetectionCode1
MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous DrivingCode1
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-SupervisionCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object TrackingCode1
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point BlendingCode1
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving ScenariosCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous DrivingCode1
MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow EstimationCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
A Simple Baseline for Multi-Camera 3D Object DetectionCode1
LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous DrivingCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
M3CAD: Towards Generic Cooperative Autonomous Driving BenchmarkCode1
A Simple and Efficient Multi-task Network for 3D Object Detection and Road UnderstandingCode1
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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