What effect will autonomous driving have on traffic jams? It's possible for autonomous vehicles to greatly reduce traffic jams as they will affect them in multiple ways: Lane switching For routes that see assymetrical traffic flows at different times of the day, autonomous vehicles can choose how many lanes will go in each direction without a physical barrier between the directions. If cars communicate with each other and the infrastructure, then traffic lights can go away. Cars will adjust their speed and position to flow through intersections without stopping. Accident reduction Because autonomous vehicles don't fail due to human error, they will eliminate a large portion of accidents.

It is a lack of knowledge about the AV due to confusing terminology from the industry. Industry stakeholders must work together to ensure clear and consistent messaging and the use of consumer-facing terminology is part of this. Understanding which words and phrases resonate with consumers can help manage misconceptions and improve consumer understanding of AV. Some 56% of study respondents thought current driver technologies are the same as fully automated #selfdrivingcars systems. Consumers showed further confusion when asked about terminology used to describe different levels of #automation.

How AutonomousVehicles will change our lives forever? An autonomous car (driverless car, self-driving car, robotic car) is a vehicle that is capable of sensing its environment and navigating without human input. Self-driving vehicles can detect surroundings using a variety of techniques such as radar, lidar, GPS, odometry, and computer vision. It's been suggested that 57% of roadway accidents are due to human error. However, with driverless vehicles, its suggested that this number could dramatically decrease as unlike humans, the computer technology in cars can't be'distracted'.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner The ultimate goal has always been to build AV fleets that are scalable, deployable, and safe. The community hopes to reach better-than-human performance on the road regardless of physical conditions or environment. Well, how safe is safe? While avoiding obstacles, following traffic laws, and looking out for pedestrians sound simple, the complexities occur when vehicles find themselves in novel situations never encountered during training, that a human could easily navigate. A common observation is AV rollouts being called back or delayed due to sudden faults or accidents.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner Reimagining transportation is of critical importance in the race against the climate and equity crises -- making sure people can get where they need to go in a sustainable manner. Self-driving cars could represent a solution to the global transition to carbon neutrality. Despite many advantages, there are societal and environmental implications that cannot be ignored. The biggest environmental issue related to gas engine cars has to do with the emissions they generate. How much AVs actually pollute depend on where they get their electricity from.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How Important is Data, for #AutonomousDriving Technology? The data output of intelligent driving sensors is generally divided into the following three types, The first is obstacle detection, obstacle tracking, and multi-sensor fusion. In addition to the basic obstacle labeling capabilities of monocular and binocular cameras, fisheye cameras, and surround-view cameras, lidar point cloud data with different beams ranging from 4 lines to 128 lines can be annotated. In terms of multi-sensor detection (including lidar, camera fusion, and sensors such as millimeter-wave radar), multi-sensor annotation is feasible as well. The second type is the environment perception outside the car and lane information.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner What data your car collects? The car you drive says more about you than you think. Over the last few decades, technology has given drivers remarkable improvements in both safety and convenience but it has also turned cars into data-gathering machines. If your car knows where you go, and how long you stay there, it, also hypothetically knows whether you're a churchgoer, or made a recent trip Planned Parenthood. And, depending on what features you've enabled, it may not keep that information to itself.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner How is #blockchain meant to help create #autonomouscars? You might own an autonomous vehicle. It needs to talk to machines like traffic lights, parking meters, and other city infrastructure without any input from you. To do so, it needs to find, authenticate, communicate and transact with those machines. If the identity of these machines is not verified, it could be connecting to a parking meter that has been hacked and can steal my car's data.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner With a high intelligence of its own, #AI can stir up many challenges. AI applications are engineered to review and overcome a particular group of loss functions, resulting in undesirable side effects in other loss functions. AI also comes with many unintended consequences in ethics, bias, privacy, etc., calling for scrutiny and goal-directed actions. This is where human-centricity comes into the picture. To put it in simple terms, Human-Augmented AI is defined by systems that are continuously improving because of human input.

AI Researcher, Cognitive Technologist Inventor - AI Thinking, Think Chain Innovator - AIOT, XAI, Autonomous Cars, IIOT Founder Fisheyebox Spatial Computing Savant, Transformative Leader, Industry X.0 Practitioner There are numerous benefits to #driverlesscars But by far the biggest hurdle to overcome from the public was trust of the technology taking the ability to make decisions on the road out of their hands. The biggest hurdle to the adoption of #autonomousvehicles is psychological. Another reason holding back the technology was the perceived high price of the technology - estimated at $100,000. Mobile networks are often thought of as key to making #autonomouscars a reality. The super fast #5G networks can transmit data between cars in a fraction of a second allowing for quicker decision making.