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

Showing 35613570 of 6092 papers

TitleStatusHype
The importance of space and time in neuromorphic cognitive agents0
The JPEG Pleno Learning-based Point Cloud Coding Standard: Serving Man and Machine0
The Meeseeks Mesh: Spatially Consistent 3D Adversarial Objects for BEV Detector0
The NEOLIX Open Dataset for Autonomous Driving0
The Past and Present of Imitation Learning: A Citation Chain Study0
The Pedestrian Patterns Dataset0
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving0
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition0
The Robust Semantic Segmentation UNCV2023 Challenge Results0
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified