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 1441–1450 of 2605 papers

TitleStatusHype
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes—0
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles—0
Open vs Closed-ended questions in attitudinal surveys -- comparing, combining, and interpreting using natural language processing—0
Multimodal Detection of Unknown Objects on Roads for Autonomous DrivingCode1
Adversarial Plannning—0
Using 3D Shadows to Detect Object Hiding Attacks on Autonomous Vehicle Perception—0
Learning Eco-Driving Strategies at Signalized Intersections—0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
Goal-driven Self-Attentive Recurrent Networks for Trajectory PredictionCode1
A Spatio-Temporal Multilayer Perceptron for Gesture RecognitionCode1
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Benchmark Results

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