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 25012510 of 6092 papers

TitleStatusHype
Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving0
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model0
FLODCAST: Flow and Depth Forecasting via Multimodal Recurrent Architectures0
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 Learning0
Fine-Tuning Language Models Using Formal Methods Feedback0
EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving0
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models0
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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