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 5026–5050 of 6092 papers

TitleStatusHype
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection—0
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks—0
DeepDyve: Dynamic Verification for Deep Neural Networks—0
Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to Autonomous DrivingCode0
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
Holistic Grid Fusion Based Stop Line Estimation—0
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Multi-modal Experts Network for Autonomous Driving—0
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision SensorCode1
Radar-Camera Sensor Fusion for Joint Object Detection and Distance Estimation in Autonomous Vehicles—0
Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual LocalizationCode1
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction—0
A Robust and Reliable Point Cloud Recognition Network Under Rigid TransformationCode0
4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving—0
Cosine meets Softmax: A tough-to-beat baseline for visual groundingCode0
SoK: Certified Robustness for Deep Neural NetworksCode1
RoIFusion: 3D Object Detection from LiDAR and Vision—0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning—0
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation—0
Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar—0
Goal-Directed Occupancy Prediction for Lane-Following Actors—0
Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms—0
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera—0
Show:102550
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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