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 1151–1160 of 2605 papers

TitleStatusHype
Detecting Driveable Area for Autonomous Vehicles—0
Autonomous Vehicle Security: A Deep Dive into Threat Modeling—0
Autonomous Vehicles as a Sensor: Simulating Data Collection Process—0
Analysis and Control of Autonomous Mobility-on-Demand Systems—0
ADCNet: Learning from Raw Radar Data via Distillation—0
Designing Autonomous Vehicles: Evaluating the Role of Human Emotions and Social Norms—0
Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs—0
Autonomous Vehicles an overview on system, cyber security, risks, issues, and a way forward—0
Depth Not Needed - An Evaluation of RGB-D Feature Encodings for Off-Road Scene Understanding by Convolutional Neural Network—0
Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate—0
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Benchmark Results

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