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 711–720 of 2605 papers

TitleStatusHype
Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles—0
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention—0
Detecting Driveable Area for Autonomous Vehicles—0
Autonomous Vehicle Security: A Deep Dive into Threat Modeling—0
Detecting Unsigned Physical Road Incidents from Driver-View Images—0
Detection of Cyber-Attacks in Collaborative Intersection Control—0
Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach—0
A Multicriteria Decision Making Approach to Study the Barriers to the Adoption of Autonomous Vehicles—0
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
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Benchmark Results

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