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 3751–3800 of 6092 papers

TitleStatusHype
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning—0
StreamYOLO: Real-time Object Detection for Streaming Perception—0
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 Augmentations—0
Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup—0
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 Prediction—0
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems—0
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 Features—0
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 Detection—0
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature LearningCode2
Stochastic Market Games—0
DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-drivingCode1
Vehicle-road Cooperative Simulation and 3D Visualization System—0
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
QML for Argoverse 2 Motion Forecasting Challenge—0
Robust and accurate depth estimation by fusing LiDAR and Stereo—0
Teachers in concordance for pseudo-labeling of 3D sequential dataCode1
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers—0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation—0
Wayformer: Motion Forecasting via Simple & Efficient Attention NetworksCode2
Paint and Distill: Boosting 3D Object Detection with Semantic Passing NetworkCode0
Real-Time And Robust 3D Object Detection with Roadside LiDARs—0
Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds—0
Learning Spatial and Temporal Variations for 4D Point Cloud Segmentation—0
Physical Attack on Monocular Depth Estimation with Optimal Adversarial PatchesCode1
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object DetectionCode1
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections—0
Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future—0
Mirror Complementary Transformer Network for RGB-thermal Salient Object DetectionCode1
SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor—0
BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly DetectionCode0
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning—0
Object-Level Targeted Selection via Deep Template Matching—0
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse TransformersCode2
GP22: A Car Styling Dataset for Automotive Designers—0
Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object SegmentationCode2
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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