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 431–440 of 2605 papers

TitleStatusHype
4C: A Computation, Communication, and Control Co-Design Framework for CAVs—0
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception—0
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles—0
Adversarial Plannning—0
AppSign: Multi-level Approximate Computing for Real-Time Traffic Sign Recognition in Autonomous Vehicles—0
A Convex Optimal Control Framework for Autonomous Vehicle Intersection Crossing—0
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks—0
CheckINN: Wide Range Neural Network Verification in Imandra (Extended)—0
Approximate FPGA-based LSTMs under Computation Time Constraints—0
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles—0
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Benchmark Results

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