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 2531–2540 of 2605 papers

TitleStatusHype
Long-term Visual Localization using Semantically Segmented Images—0
A Computational Model of Commonsense Moral Decision Making—0
Predicting Future Lane Changes of Other Highway Vehicles using RNN-based Deep Models—0
Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and LogosCode0
Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties—0
Approximate FPGA-based LSTMs under Computation Time Constraints—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Autonomous Vehicle Fleet Coordination With Deep Reinforcement Learning—0
MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes—0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
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Benchmark Results

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