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

Showing 23112320 of 2605 papers

TitleStatusHype
Estimation of Tire-Road Friction for Road Vehicles: a Time Delay Neural Network Approach0
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random FieldsCode0
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
Importance-Aware Semantic Segmentation with Efficient Pyramidal Context Network for Navigational Assistant SystemsCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
SDNet: Semantically Guided Depth Estimation Network0
Interpretable Classification of Time-Series Data using Efficient Enumerative Techniques0
Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors0
Temporally Consistent Horizon LinesCode0
Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory0
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Benchmark Results

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