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 13261350 of 6092 papers

TitleStatusHype
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous DrivingCode1
Optimized adaptive MPC for lateral control of autonomous vehiclesCode1
DatasetEquity: Are All Samples Created Equal? In The Quest For Equity Within DatasetsCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR DataCode1
Optimal Cost Design for Model Predictive ControlCode1
Out-of-Distribution Semantic Occupancy PredictionCode1
GUARD: A Safe Reinforcement Learning BenchmarkCode1
Guiding Deep Learning System Testing using Surprise AdequacyCode1
CLAD: A realistic Continual Learning benchmark for Autonomous DrivingCode1
Open-world Semantic Segmentation for LIDAR Point CloudsCode1
DDD17: End-To-End DAVIS Driving DatasetCode1
Scene Transformer: A unified architecture for predicting multiple agent trajectoriesCode1
DeepReach: A Deep Learning Approach to High-Dimensional ReachabilityCode1
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene EncodingCode1
A Unified Query-based Paradigm for Point Cloud UnderstandingCode1
HEAL-SWIN: A Vision Transformer On The SphereCode1
A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic SegmentationCode1
Delving into Localization Errors for Monocular 3D Object DetectionCode1
Optical Flow Based Motion Detection for Autonomous DrivingCode1
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time ApplicationsCode1
Panoptic Segmentation: A ReviewCode1
Deep learning for radar data exploitation of autonomous vehicleCode1
AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object DetectionCode1
Deep Learning for Omnidirectional Vision: A Survey and New PerspectivesCode1
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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