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 4076–4100 of 6092 papers

TitleStatusHype
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey—0
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data—0
"If you could see me through my eyes": Predicting Pedestrian Perception—0
Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A SurveyCode2
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous DrivingCode1
TransKD: Transformer Knowledge Distillation for Efficient Semantic SegmentationCode1
How Much Depth Information can Radar Contribute to a Depth Estimation Model?—0
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report—0
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative PlaneCode1
Context-Hierarchy Inverse Reinforcement Learning—0
Confidence Calibration for Object Detection and Segmentation—0
On Monocular Depth Estimation and Uncertainty Quantification using Classification Approaches for Regression—0
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques—0
Light Robust Monocular Depth Estimation For Outdoor Environment Via Monochrome And Color Camera Fusion—0
Path-Aware Graph Attention for HD Maps in Motion Prediction—0
DL-SLOT: Dynamic Lidar SLAM and Object Tracking Based On Graph Optimization—0
Enabling Efficient Deep Convolutional Neural Network-based Sensor Fusion for Autonomous Driving—0
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections—0
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study—0
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic—0
Task-oriented Scheduling for Networked Control Systems: An Age of Information-Aware Implementation on Software-defined Radios—0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces—0
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving—0
Reducing Overconfidence Predictions for Autonomous Driving Perception—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