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 1671–1680 of 2605 papers

TitleStatusHype
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
Continuous-Time Spatiotemporal Calibration of a Rolling Shutter Camera---IMU SystemCode1
Development of Simulation-based Lane Change Control System for Autonomous Vehicles—0
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles—0
Semantic Mobile Base Station Placement—0
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes—0
Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development—0
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
Active Learning of Driving Scenario Trajectories—0
Real-time Eco-Driving Control in Electrified Connected and Autonomous Vehicles using Approximate Dynamic Programming—0
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Benchmark Results

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