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 4776–4800 of 6092 papers

TitleStatusHype
SeqNet: Learning Descriptors for Sequence-based Hierarchical Place RecognitionCode1
ROAD: The ROad event Awareness Dataset for Autonomous DrivingCode1
Adaptive Video Configuration and Bitrate Allocation for Teleoperated Vehicles—0
Uncertainty Estimation Using Riemannian Model~Dynamics for Offline Reinforcement Learning—0
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural NetworksCode1
Phase Space Reconstruction Network for Lane Intrusion Action Recognition—0
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion PredictionCode1
Camera Calibration with Pose Guidance—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
Improving Hierarchical Adversarial Robustness of Deep Neural Networks—0
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning—0
Weakly Supervised Learning of Rigid 3D Scene FlowCode1
LEAD: LiDAR Extender for Autonomous Driving—0
Engineering Education in the Age of Autonomous Machines—0
Steadily Learn to Drive with Virtual Memory—0
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems—0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous DrivingCode0
FedBN: Federated Learning on Non-IID Features via Local Batch NormalizationCode1
Adaptive Optimization of Autonomous Vehicle Computational Resources for Performance and Energy Improvement—0
Disturbing Reinforcement Learning Agents with Corrupted Rewards—0
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches—0
Driver2vec: Driver Identification from Automotive Data—0
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Robustness in Compressed Neural Networks for Object Detection—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