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 3251–3275 of 6092 papers

TitleStatusHype
Automotive Radar Mutual Interference Mitigation Based on Hough Transform in Time-Frequency Domain—0
Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
Autonomous Driving and Residential Location Preferences: Evidence from a Stated Choice Survey—0
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network—0
Autonomous Driving Data Chain & Interfaces—0
Autonomous Driving in Reality with Reinforcement Learning and Image Translation—0
Autonomous Driving in the Lung using Deep Learning for Localization—0
Autonomous driving of trucks in off-road environment—0
Autonomous Driving Simulator based on Neurorobotics Platform—0
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks—0
Autonomous Driving System Design for Formula Student Driverless Racecar—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Autonomous Driving Vehicles Using Adaptive Learning Method for Data Fusion—0
Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation—0
Autonomous Driving without a Burden: View from Outside with Elevated LiDAR—0
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control—0
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections—0
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars—0
Autonomous particles—0
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Autoregressive High-Order Finite Difference Modulo Imaging: High-Dynamic Range for Computer Vision Applications—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