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 2281–2290 of 2605 papers

TitleStatusHype
AIBA: An AI Model for Behavior Arbitration in Autonomous Driving—0
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic DataCode0
Off-road Autonomous Vehicles Traversability Analysis and Trajectory Planning Based on Deep Inverse Reinforcement Learning—0
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoVCode0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
Towards Assume-Guarantee Profiles for Autonomous Vehicles—0
Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data—0
ScieNet: Deep Learning with Spike-assisted Contextual Information Extraction—0
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learningCode0
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks—0
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Benchmark Results

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