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 2431–2440 of 6092 papers

TitleStatusHype
GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction—0
Security and Privacy Challenges in Deep Learning Models—0
DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory—0
ADriver-I: A General World Model for Autonomous Driving—0
An Empirical Study of Uncertainty Estimation Techniques for Detecting Drift in Data Streams—0
Learning with Chemical versus Electrical Synapses -- Does it Make a Difference?—0
Attacking Motion Planners Using Adversarial Perception Errors—0
A Survey on Multimodal Large Language Models for Autonomous DrivingCode2
SelfOcc: Self-Supervised Vision-Based 3D Occupancy PredictionCode2
Applications of Large Scale Foundation Models for Autonomous Driving—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