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 4826–4850 of 6092 papers

TitleStatusHype
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization—0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic ScenariosCode0
Traffic Scenario Clustering by Iterative Optimisation of Self-Supervised Networks Using a Random Forest Activation Pattern SimilarityCode0
Ensemble-based Semi-supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving—0
Reinforcement Learning Based Safe Decision Making for Highway Autonomous Driving—0
Scene Understanding for Autonomous Driving—0
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors—0
A 2.5D Vehicle Odometry Estimation for Vision Applications—0
A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs—0
Preference learning along multiple criteria: A game-theoretic perspective—0
Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)Code0
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction—0
Enabling 3D Object Detection with a Low-Resolution LiDAR—0
Pedestrian Detection in 3D Point Clouds using Deep Neural Networks—0
A LiDAR Assisted Control Module with High Precision in Parking Scenarios for Autonomous Driving Vehicle—0
Improved Real-Time Monocular SLAM Using Semantic Segmentation on Selective Frames—0
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety—0
Physically Feasible Vehicle Trajectory Prediction—0
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation—0
Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes—0
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning—0
Reward (Mis)design for Autonomous Driving—0
Model Guided Road Intersection Classification—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