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 791–800 of 2605 papers

TitleStatusHype
Anticipatory Thinking Challenges in Open Worlds: Risk Management—0
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach—0
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
Optimal Lane-Free Crossing of CAVs through Intersections—0
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors—0
Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles—0
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
A Computational Model of Commonsense Moral Decision Making—0
Can listening to more neighbours help CAVs be faster and safer?—0
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Benchmark Results

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