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 4951–4975 of 6092 papers

TitleStatusHype
Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Data—0
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth EstimationCode0
Addressing Action Oscillations through Learning Policy Inertia—0
Model-Agnostic Defense for Lane Detection against Adversarial AttackCode0
A Driving Behavior Recognition Model with Bi-LSTM and Multi-Scale CNN—0
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map—0
FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images—0
Open-set Intersection Intention Prediction for Autonomous Driving—0
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering—0
Safe Distributional Reinforcement Learning—0
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images—0
PixSet : An Opportunity for 3D Computer Vision to Go Beyond Point Clouds With a Full-Waveform LiDAR Dataset—0
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference LearningCode0
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving—0
Uncertainty Estimation Using Riemannian Model~Dynamics for Offline Reinforcement Learning—0
Phase Space Reconstruction Network for Lane Intrusion Action Recognition—0
Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles—0
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems—0
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving—0
Camera Calibration with Pose Guidance—0
Improving Hierarchical Adversarial Robustness of Deep Neural Networks—0
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning—0
Engineering Education in the Age of Autonomous Machines—0
LEAD: LiDAR Extender for Autonomous Driving—0
Steadily Learn to Drive with Virtual Memory—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