Cars should not detect "obstacles". They should detect roads. They should not seek _exceptions_ to driveable space through classification- or segmentation-first strategies. They should only detect driveable space. Full stop.
You either detect a full-stopping-distance's worth of clear road through reliable (non visual) ranging with dense enough samples to preclude wheel-catching voids ... or you will continue to run into "objects" which slipped through your classifier.
I can accept reduction in this margin (e.g. in dense traffic flow) when it is first shown to work with margin.
You either detect a full-stopping-distance's worth of clear road through reliable (non visual) ranging with dense enough samples to preclude wheel-catching voids ... or you will continue to run into "objects" which slipped through your classifier.
I can accept reduction in this margin (e.g. in dense traffic flow) when it is first shown to work with margin.