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 1151–1175 of 6092 papers

TitleStatusHype
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous DrivingCode1
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic SegmentationCode1
Unsupervised Monocular Depth Perception: Focusing on Moving ObjectsCode1
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous DrivingCode1
FOVEA: Foveated Image Magnification for Autonomous NavigationCode1
YOLOP: You Only Look Once for Panoptic Driving PerceptionCode1
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
Model-based Decision Making with Imagination for Autonomous ParkingCode1
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
DenseTNT: End-to-end Trajectory Prediction from Dense Goal SetsCode1
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic SegmentationCode1
Continual Learning for Image-Based Camera LocalizationCode1
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane DetectionCode1
End-to-End Urban Driving by Imitating a Reinforcement Learning CoachCode1
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous DrivingCode1
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksCode1
Memory-based Semantic Segmentation for Off-road Unstructured Natural EnvironmentsCode1
Deep Metric Learning for Open World Semantic SegmentationCode1
Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous DrivingCode1
Stereo Waterdrop Removal with Row-wise Dilated AttentionCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
SLAMP: Stochastic Latent Appearance and Motion PredictionCode1
Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition SystemsCode1
Investigating Attention Mechanism in 3D Point Cloud Object DetectionCode1
Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object DetectionCode1
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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