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.

Papers

Showing 2251–2260 of 2605 papers

Title	Date	Tasks	Status
Multivariate Uncertainty in Deep Learning	Oct 31, 2019	Autonomous VehiclesDeep Learning	—Unverified
Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety (Expanded Version)	Oct 31, 2019	Autonomous VehiclesCollision Avoidance	—Unverified
In-Place Zero-Space Memory Protection for CNN	Oct 31, 2019	Autonomous Vehicles	CodeCode Available
A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning	Oct 30, 2019	Autonomous VehiclesDeep Reinforcement Learning	—Unverified
Automatic Testing With Reusable Adversarial Agents	Oct 30, 2019	Autonomous VehiclesDeep Reinforcement Learning	—Unverified
Learning a Safety Verifiable Adaptive Cruise Controller from Human Driving Data	Oct 29, 2019	Autonomous VehiclesImitation Learning	—Unverified
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities	Oct 29, 2019	Autonomous VehiclesDecision Making	—Unverified
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile	Oct 28, 2019	Autonomous VehiclesClustering	—Unverified
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning	Oct 22, 2019	Autonomous Vehicles	—Unverified
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process	Oct 17, 2019	Autonomous VehiclesMeta-Learning	—Unverified

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#	Model	Metric	Claimed	Verified	Status
1	BAAM	A3DP	22.85	—	Unverified
2	GSNet	A3DP	20.21	—	Unverified