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 701–710 of 2605 papers

TitleStatusHype
Deep Radar Waveform Design for Efficient Automotive Radar Sensing—0
Dependable Neural Networks for Safety Critical Tasks—0
Deep Probability Estimation—0
Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning—0
Depth Estimation using Weighted-loss and Transfer Learning—0
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation—0
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
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Benchmark Results

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