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

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Showing 6001–6050 of 6092 papers

TitleStatusHype
Efficient Decentralized Deep Learning by Dynamic Model AveragingCode0
UniWorld: Autonomous Driving Pre-training via World ModelsCode0
Efficient Bayes Inference in Neural Networks through Adaptive Importance SamplingCode0
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object DetectionCode0
Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting MachinesCode0
Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle PerceptionCode0
STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision PredictionCode0
Benchmarking the Robustness of Optical Flow Estimation to CorruptionsCode0
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous ApplicationsCode0
Asymmetric Dual-Decoder U-Net for Joint Rain and Haze RemovalCode0
Towards Robust Unsupervised Attention Prediction in Autonomous DrivingCode0
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map LearningCode0
InfraParis: A multi-modal and multi-task autonomous driving datasetCode0
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory ForecastingCode0
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
ECAFormer: Low-light Image Enhancement using Cross AttentionCode0
Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the DarkCode0
Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic ParticipantsCode0
StructVPR++: Distill Structural and Semantic Knowledge with Weighting Samples for Visual Place RecognitionCode0
QE-BEV: Query Evolution for Bird's Eye View Object Detection in Varied ContextsCode0
Continual BatchNorm Adaptation (CBNA) for Semantic SegmentationCode0
A General Framework for Uncertainty Estimation in Deep LearningCode0
A Survey on World Models Grounded in Acoustic Physical InformationCode0
Context-Aware Streaming Perception in Dynamic EnvironmentsCode0
Study on the Helpfulness of Explainable Artificial IntelligenceCode0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous DrivingCode0
A Robust and Reliable Point Cloud Recognition Network Under Rigid TransformationCode0
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is ComingCode0
AR-TTA: A Simple Method for Real-World Continual Test-Time AdaptationCode0
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated LearningCode0
Dynamic Adversarial Attacks on Autonomous Driving SystemsCode0
Informed Reinforcement Learning for Situation-Aware Traffic Rule ExceptionsCode0
Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?Code0
Artificial Dummies for Urban Dataset AugmentationCode0
Increasing Data Efficiency of Driving Agent By World ModelCode0
Affordable Modular Autonomous Vehicle Development PlatformCode0
Unsupervised Adaptation from Repeated Traversals for Autonomous DrivingCode0
Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative PerceptionCode0
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and CheckingCode0
Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection SystemCode0
3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage GenerationCode0
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep NetworksCode0
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approachCode0
Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic SegmentationCode0
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated DrivingCode0
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR OcclusionCode0
3D Multi-Object Tracking: A Baseline and New Evaluation MetricsCode0
Virtual to Real Reinforcement Learning for Autonomous DrivingCode0
Aerial Monocular 3D Object DetectionCode0
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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