SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 651–660 of 2605 papers

TitleStatusHype
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
Addressing Data Annotation Challenges in Multiple Sensors: A Solution for Scania Collected Datasets—0
Acceleration method for generating perception failure scenarios based on editing Markov process—0
Autonomous Vehicles for Ride-Hailing—0
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms—0
Active Learning of Driving Scenario Trajectories—0
Autonomous Vehicle Security: A Deep Dive into Threat Modeling—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Analysis and Control of Autonomous Mobility-on-Demand Systems—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified