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 37513775 of 6092 papers

TitleStatusHype
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning0
StreamYOLO: Real-time Object Detection for Streaming Perception0
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object DetectionCode1
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real EnvironmentsCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations0
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup0
Fully Sparse 3D Object DetectionCode2
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
Visual Knowledge TracingCode1
Latent Discriminant deterministic UncertaintyCode1
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLACode1
Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain RobustnessCode1
Action-based Contrastive Learning for Trajectory Prediction0
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems0
Latency-Aware Collaborative PerceptionCode1
Semantic Novelty Detection via Relational ReasoningCode1
UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-ViewCode1
Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features0
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
NeFSAC: Neurally Filtered Minimal SamplesCode1
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection0
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature LearningCode2
Stochastic Market Games0
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-drivingCode1
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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