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 421–430 of 2605 papers

TitleStatusHype
A Real-Time Optimal Eco-driving for Autonomous Vehicles Crossing Multiple Signalized Intersections—0
AdvRain: Adversarial Raindrops to Attack Camera-based Smart Vision Systems—0
A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment—0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results—0
Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices—0
A Real-Time DETR Approach to Bangladesh Road Object Detection for Autonomous Vehicles—0
A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles—0
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms—0
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving—0
Arbitrary Angle of Arrival in Radar Target Simulation—0
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Benchmark Results

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