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 2501–2525 of 6092 papers

TitleStatusHype
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving—0
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model—0
FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architectures—0
Large Trajectory Models are Scalable Motion Predictors and PlannersCode2
ODM3D: Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object DetectionCode0
Siamese-DETR for Generic Multi-Object TrackingCode0
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning—0
Fine-Tuning Language Models Using Formal Methods Feedback—0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving—0
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models—0
A Hybrid Graph Network for Complex Activity Detection in Video—0
YOLO-BEV: Generating Bird's-Eye View in the Same Way as 2D Object Detection—0
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object DetectionCode1
Three Pillars improving Vision Foundation Model Distillation for LidarCode1
TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUsCode3
Using Knowledge Awareness to improve Safety of Autonomous Driving—0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception—0
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated DrivingCode0
MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection—0
Data-driven Traffic Simulation: A Comprehensive Review—0
Pixel-Level Clustering Network for Unsupervised Image Segmentation—0
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation—0
RoboDepth: Robust Out-of-Distribution Depth Estimation under CorruptionsCode2
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic SegmentationCode0
BM2CP: Efficient Collaborative Perception with LiDAR-Camera ModalitiesCode1
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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