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 5201–5250 of 6092 papers

TitleStatusHype
DAWN: Vehicle Detection in Adverse Weather Nature Dataset—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving—0
Measures of Complexity for Large Scale Image Datasets—0
Rethinking 3D LiDAR Point Cloud SegmentationCode0
Labels Are Not Perfect: Improving Probabilistic Object Detection via Label Uncertainty—0
Robot Action Selection Learning via Layered Dimension Informed Program SynthesisCode0
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving—0
LiDAR Data Enrichment Using Deep Learning Based on High-Resolution Image: An Approach to Achieve High-Performance LiDAR SLAM Using Low-cost LiDAR—0
A Sensitivity Analysis Approach for Evaluating a Radar Simulation for Virtual Testing of Autonomous Driving Functions—0
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications—0
Active Perception using Light Curtains for Autonomous Driving—0
Comparison of Source Coding Techniques for the Vehicle to Vehicle Communication—0
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles—0
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving—0
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving ValidationCode0
Edge Computing for Real-Time Near-Crash Detection for Smart Transportation Applications—0
Distance-Normalized Unified Representation for Monocular 3D Object Detection—0
PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding—0
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation—0
Polynomial Regression Network for Variable-Number Lane Detection—0
Modeling the Effects of Windshield Refraction for Camera Calibration—0
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information—0
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data—0
Learning to Rank for Active Learning: A Listwise Approach—0
Deep Traffic Sign Detection and Recognition Without Target Domain Real Images—0
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation—0
Heatmap-based Vanishing Point boosts Lane Detection—0
Speed-up Heuristic for an On-Demand Ride-Pooling Algorithm—0
Simultaneously Learning Corrections and Error Models for Geometry-based Visual Odometry Methods—0
S^3Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data—0
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories—0
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications—0
Applying Semantic Segmentation to Autonomous Cars in the Snowy Environment—0
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds—0
Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments—0
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation—0
Scaling Polyhedral Neural Network Verification on GPUs—0
Understanding and Mitigating the Limitations of Prioritized Experience ReplayCode0
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving—0
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning—0
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels—0
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling—0
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes—0
Enable an Open Software Defined Mobility Ecosystem through VEC-OF—0
PathGAN: Local Path Planning with Attentive Generative Adversarial NetworksCode0
Deformable spatial propagation network for depth completion—0
KIT MOMA: A Mobile Machines Dataset—0
Synthetic-to-Real Domain Adaptation for Lane Detection—0
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain—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