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 5826–5850 of 6092 papers

TitleStatusHype
Semi-Supervised Regression with Generative Adverserial Networks for End to End Learning in Autonomous Driving—0
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNNCode0
Satyam: Democratizing Groundtruth for Machine Vision—0
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning—0
Confidence Propagation through CNNs for Guided Sparse Depth RegressionCode0
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks—0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
Scalable End-to-End Autonomous Vehicle Testing via Rare-event SimulationCode0
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous DrivingCode0
Cross-Modal Attentional Context Learning for RGB-D Object Detection—0
Object Detection based on LIDAR Temporal Pulses using Spiking Neural Networks—0
Cross-Modal Distillation for RGB-Depth Person Re-Identification—0
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks—0
UAVid: A Semantic Segmentation Dataset for UAV ImageryCode0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Action and intention recognition of pedestrians in urban traffic—0
Deep Imitative Models for Flexible Inference, Planning, and ControlCode0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
Optimized Gated Deep Learning Architectures for Sensor Fusion—0
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving—0
Interest point detectors stability evaluation on ApolloScape dataset—0
Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps—0
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards—0
Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking—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