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 4576–4600 of 6092 papers

TitleStatusHype
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous VehiclesCode1
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles—0
Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview—0
Short-term Maintenance Planning of Autonomous Trucks for Minimizing Economic Risk—0
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving—0
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes—0
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving—0
TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive FieldsCode1
On Enhancing Ground Surface Detection from Sparse Lidar Point Cloud—0
Inferring Temporal Logic Properties from Data using Boosted Decision Trees—0
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
Autonomous Driving Implementation in an Experimental EnvironmentCode0
Safety Metrics for Semantic Segmentation in Autonomous Driving—0
Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous DrivingCode1
Evaluating Robustness over High Level Driving Instruction for Autonomous DrivingCode0
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization—0
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
Structure Guided Lane DetectionCode1
Scene Understanding for Autonomous Driving—0
Trajectory Prediction for Autonomous Driving with Topometric MapCode1
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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