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 3926–3950 of 6092 papers

TitleStatusHype
Master's Thesis: Out-of-distribution Detection with Energy-based ModelsCode0
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support—0
Certified Interpretability Robustness for Class Activation Mapping—0
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation—0
Autonomous particles—0
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer—0
On Multi-Agent Deep Deterministic Policy Gradients and their Explainability for SMARTS Environment—0
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving—0
A Light-Weight Communication-Efficient Data Sharing Approach in 5G NR V2X—0
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities—0
PTA-Det: Point Transformer Associating Point cloud and Image for 3D Object Detection—0
DR-WLC: Dimensionality Reduction cognition for object detection and pose estimation by Watching, Learning and CheckingCode0
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks—0
Deep-learning-based on-chip rapid spectral imaging with high spatial resolution—0
DarkVision: A Benchmark for Low-light Image/Video Perception—0
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context—0
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss—0
Uncertainty Estimation based on Geometric Separation—0
Time of Arrival Error Estimation for Positioning Using Convolutional Neural Networks—0
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective—0
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?—0
Optical Flow for Autonomous Driving: Applications, Challenges and Improvements—0
ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation—0
InstaGraM: Instance-level Graph Modeling for Vectorized HD Map LearningCode0
Deep Planar Parallax for Monocular Depth Estimation—0
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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