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 3311–3320 of 6092 papers

TitleStatusHype
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
ADriver-I: A General World Model for Autonomous Driving—0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory—0
Attacking Motion Planners Using Adversarial Perception Errors—0
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?—0
Applications of Large Scale Foundation Models for Autonomous Driving—0
SIAM: A Simple Alternating Mixer for Video Prediction—0
A Large-Scale Car Parts (LSCP) Dataset for Lightweight Fine-Grained Detection—0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems—0
Pair-wise Layer Attention with Spatial Masking for Video PredictionCode0
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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