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 6051–6075 of 6092 papers

TitleStatusHype
Image Based Camera Localization: an OverviewCode0
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving—0
Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy—0
Reconstructing Vechicles from a Single Image: Shape Priors for Road Scene Understanding—0
Geometry-Based Next Frame Prediction from Monocular Video—0
DESPOT: Online POMDP Planning with RegularizationCode0
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network—0
Game-Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems—0
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection—0
Compressive Change Retrieval for Moving Object Detection—0
Characterizing Driving Styles with Deep LearningCode1
Can we unify monocular detectors for autonomous driving by using the pixel-wise semantic segmentation of CNNs?—0
Joint Recursive Monocular Filtering of Camera Motion and Disparity Map—0
Speeding up Semantic Segmentation for Autonomous DrivingCode0
Monocular 3D Object Detection for Autonomous Driving—0
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes—0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Query-Efficient Imitation Learning for End-to-End Autonomous DrivingCode0
Road Detection through Supervised Classification—0
On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training—0
Exploiting Semantic Information and Deep Matching for Optical Flow—0
Global Deconvolutional Networks for Semantic Segmentation—0
Long-term Planning by Short-term Prediction—0
Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs—0
Driverseat: Crowdstrapping Learning Tasks for Autonomous Driving—0
Show:102550
← PrevPage 243 of 244Next →
All datasetsCARLA LeaderboardTown05 LongTown05 Short

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