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 2391–2400 of 2605 papers

TitleStatusHype
DFineNet: Ego-Motion Estimation and Depth Refinement from Sparse, Noisy Depth Input with RGB Guidance—0
RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban ScenesCode0
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning—0
Fast Deep Stereo with 2D Convolutional Processing of Cost SignaturesCode0
Robust Lane Detection from Continuous Driving Scenes Using Deep Neural NetworksCode0
Learning a Lattice Planner Control Set for Autonomous VehiclesCode0
Leveraging Shape Completion for 3D Siamese TrackingCode0
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving—0
Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network—0
Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services—0
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Benchmark Results

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